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Tutorial - IEEE Conference on Games 2021</itunes:subtitle>
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            <media:title>The Propaganda Machine</media:title>
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Natural Language Processing - Workshop - IEEE Conference on Games 2021</itunes:summary>
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Natural Language Processing - Workshop - IEEE Conference on Games 2021</itunes:subtitle>
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Natural Language Processing - Workshop - IEEE Conference on Games 2021</itunes:summary>
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Natural Language Processing - Workshop - IEEE Conference on Games 2021</itunes:subtitle>
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Title: A Game Interface to Study Semantic  Grounding in Text Based Models.
Natural Language Processing - Workshop - IEEE Conference on Games 2021</itunes:subtitle>
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Natural Language Processing - Workshop - IEEE Conference on Games 2021</itunes:summary>
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Tutorial - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/72567402/griddly-building-single-multiplayer"&gt;&lt;img src="http://video.itu.dk/64968568/72567402/9988ab7e6d9d2e11fde29886a739f16d/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
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            <pubDate>Mon, 13 Dec 2021 13:17:18 GMT</pubDate>
            <media:title>Griddly: Building Single, Multiplayer and  RTS games for Research</media:title>
            <itunes:summary>Author: Chris Bamford.
Title: Griddly: Building Single, Multiplayer and RTS games for Research.
Tutorial - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: Chris Bamford.
Title: Griddly: Building Single, Multiplayer and RTS games for Research.
Tutorial - IEEE Conference on Games 2021</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>51:33</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: Chris Bamford.&lt;br&gt;
Title: Griddly: Building Single, Multiplayer and RTS games for Research.&lt;br&gt;
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            <category>2021</category>
            <category>bamford</category>
            <category>cog</category>
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            <category>griddly</category>
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            <description>&lt;p&gt;IEEE Conference on Games 2021&lt;br&gt;
AI for Playing Games&lt;br&gt;
Author: Dominik Jeurissen, Mark Winands, Chiara Sironi and Diego Perez Liebana&lt;br&gt;
Title: Automatic Goal Discovery in Subgoal Monte&lt;br&gt;
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            <itunes:summary>IEEE Conference on Games 2021
AI for Playing Games
Author: Dominik Jeurissen, Mark Winands, Chiara Sironi and Diego Perez Liebana
Title: Automatic Goal Discovery in Subgoal Monte
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            <itunes:subtitle>IEEE Conference on Games 2021
AI for Playing Games
Author: Dominik Jeurissen, Mark Winands, Chiara Sironi and Diego Perez Liebana
Title: Automatic Goal Discovery in Subgoal Monte
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            <media:description type="html">&lt;p&gt;IEEE Conference on Games 2021&lt;br&gt;
AI for Playing Games&lt;br&gt;
Author: Dominik Jeurissen, Mark Winands, Chiara Sironi and Diego Perez Liebana&lt;br&gt;
Title: Automatic Goal Discovery in Subgoal Monte&lt;br&gt;
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            <itunes:summary>Author: James Rucks and Nikolaos Katzakis.
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            <itunes:author>IT University of Copenhagen</itunes:author>
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Title: CamerAI: Chase Camera in a Dense Environment using a Proximal Policy Optimization-trained Neural Network.&lt;br&gt;
AI for Novel Interaction Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71923055/camerai-chase-camera-in-a-dense"&gt;&lt;img src="http://video.itu.dk/64968579/71923055/aa85df070dda74c4ead48598e68158be/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
            <media:content url="https://video.itu.dk/v.ihtml/player.html?token=aa85df070dda74c4ead48598e68158be&amp;source=podcast&amp;photo%5fid=71923055" width="625" height="351" type="text/html" medium="video" duration="1140" isDefault="true" expression="full"/>
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            <category>camera</category>
            <category>camerai</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>katzakis</category>
            <category>network</category>
            <category>neural</category>
            <category>rucks</category>
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            <title>The Design History of Noita</title>
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            <itunes:summary>Author: Petri Perhi.Title: The Design History of NoitaDescription:Plenary - Keynote - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: Petri Perhi.Title: The Design History of NoitaDescription:Plenary - Keynote - IEEE Conference on Games 2021</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
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            <media:content url="https://video.itu.dk/v.ihtml/player.html?token=f01f75dc68c0080b0fc5a5322bc69a21&amp;source=podcast&amp;photo%5fid=71884487" width="625" height="351" type="text/html" medium="video" duration="3431" isDefault="true" expression="full"/>
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            <category>cog2021</category>
            <category>IEEE Conference on Games 2021</category>
            <category>Plenary - Keynote</category>
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            <title>Designing Game Feel. A Survey</title>
            <link>http://video.itu.dk/photo/71685011/designing-game-feel-a-survey</link>
            <description>&lt;p&gt;Author: Martin Pichlmair and Mads Johansen.&lt;br /&gt;
Title: Designing Game Feel. A Survey.&lt;br /&gt;
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            <pubDate>Wed, 03 Nov 2021 15:25:35 GMT</pubDate>
            <media:title>Designing Game Feel. A Survey</media:title>
            <itunes:summary>Author: Martin Pichlmair and Mads Johansen.
Title: Designing Game Feel. A Survey.
Transactions on Games and Abstracts - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: Martin Pichlmair and Mads Johansen.
Title: Designing Game Feel. A Survey.
Transactions on Games and Abstracts - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>17:35</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: Martin Pichlmair and Mads Johansen.&lt;br /&gt;
Title: Designing Game Feel. A Survey.&lt;br /&gt;
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            <category>2021</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>feel</category>
            <category>game</category>
            <category>johansen</category>
            <category>pichlmair</category>
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            <title>Interactive Constrained MAP-Elites: Analysis and Evaluation of the...</title>
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            <pubDate>Wed, 03 Nov 2021 15:25:35 GMT</pubDate>
            <media:title>Interactive Constrained MAP-Elites: Analysis and Evaluation of the...</media:title>
            <itunes:summary>Auhor: Jose Font, Alberto Alvarez, Julian Togelius and Steve Dahlskog.
Title: Interactive Constrained MAP-Elites: Analysis and Evaluation of the Expressiveness of the Feature Dimensions.
Transactions on Games and Abstracts - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Auhor: Jose Font, Alberto Alvarez, Julian Togelius and Steve Dahlskog.
Title: Interactive Constrained MAP-Elites: Analysis and Evaluation of the Expressiveness of the Feature Dimensions.
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            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>19:49</itunes:duration>
            <media:description type="html">&lt;p&gt;Auhor: Jose Font, Alberto Alvarez, Julian Togelius and Steve Dahlskog.&lt;br /&gt;
Title: Interactive Constrained MAP-Elites: Analysis and Evaluation of the Expressiveness of the Feature Dimensions.&lt;br /&gt;
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            <category>2021</category>
            <category>alvarez</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>constrained</category>
            <category>dahlskog</category>
            <category>dimensions</category>
            <category>expressiveness</category>
            <category>feature</category>
            <category>font</category>
            <category>map</category>
            <category>togelius</category>
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            <media:title>Loot boxes in China: Sub-optimal compliance with probability disclosure law...</media:title>
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            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>19:02</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: Leon Y Xiao, Laura L. Henderson, Yuhan Yang, Tullia Fraser and Philip W. S. Newall.&lt;br /&gt;
Title: Loot boxes in China: Sub-optimal compliance with probability disclosure law and novel links with gambling.&lt;br /&gt;
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            <category>2021</category>
            <category>boxes</category>
            <category>china</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>compliance</category>
            <category>disclosure</category>
            <category>fraser</category>
            <category>gambling</category>
            <category>henderson</category>
            <category>law</category>
            <category>loot</category>
            <category>newall</category>
            <category>xiao</category>
            <category>yang</category>
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        <item>
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            <title>DL-DDA - Deep Learning based Dynamic Difficulty Adjustment with UX and...</title>
            <link>http://video.itu.dk/photo/71688947/dl-dda-deep-learning-based</link>
            <description>&lt;p&gt;Author: Michael Kolomenkin, Gil Shabat and Dvir Ben Or.&lt;br /&gt;
Title: DL-DDA - Deep Learning based Dynamic Difficulty Adjustment with UX and Gameplay constraints.&lt;br /&gt;
AI for Novel Interaction Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71688947/dl-dda-deep-learning-based"&gt;&lt;img src="http://video.itu.dk/64968579/71688947/024a8c899414f31c9126507275bdab9c/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
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            <pubDate>Wed, 03 Nov 2021 15:25:35 GMT</pubDate>
            <media:title>DL-DDA - Deep Learning based Dynamic Difficulty Adjustment with UX and...</media:title>
            <itunes:summary>Author: Michael Kolomenkin, Gil Shabat and Dvir Ben Or.
Title: DL-DDA - Deep Learning based Dynamic Difficulty Adjustment with UX and Gameplay constraints.
AI for Novel Interaction Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: Michael Kolomenkin, Gil Shabat and Dvir Ben Or.
Title: DL-DDA - Deep Learning based Dynamic Difficulty Adjustment with UX and Gameplay constraints.
AI for Novel Interaction Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>18:27</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: Michael Kolomenkin, Gil Shabat and Dvir Ben Or.&lt;br /&gt;
Title: DL-DDA - Deep Learning based Dynamic Difficulty Adjustment with UX and Gameplay constraints.&lt;br /&gt;
AI for Novel Interaction Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71688947/dl-dda-deep-learning-based"&gt;&lt;img src="http://video.itu.dk/64968579/71688947/024a8c899414f31c9126507275bdab9c/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
            <media:content url="https://video.itu.dk/v.ihtml/player.html?token=024a8c899414f31c9126507275bdab9c&amp;source=podcast&amp;photo%5fid=71688947" width="625" height="351" type="text/html" medium="video" duration="1107" isDefault="true" expression="full"/>
            <media:thumbnail url="http://video.itu.dk/64968579/71688947/024a8c899414f31c9126507275bdab9c/standard/download-8-thumbnail.jpg" width="75" height=""/>
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            <category>2021</category>
            <category>ben</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>deep</category>
            <category>dl-dda</category>
            <category>kolomenkin</category>
            <category>learning</category>
            <category>or</category>
            <category>shabat</category>
            <category>ux</category>
        </item>
        <item>
            <enclosure url="http://video.itu.dk/64968580/71689098/49a63e0e72a6898a6fec75ef6f97833c/video_hd/field-playtesting-with-experts-video.mp4?source=podcast" type="video/mp4" length="43605752"/>
            <title>Field Playtesting with Experts’ Constructive Interaction: An Evaluation...</title>
            <link>http://video.itu.dk/photo/71689098/field-playtesting-with-experts</link>
            <description>&lt;p&gt;Author: Panayiotis Koutsabasis et al.&lt;br /&gt;
Title: Field Playtesting with Experts’ Constructive Interaction: An Evaluation Method for Mobile Games for Cultural Heritage.&lt;br /&gt;
Human-Computer Interaction Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71689098/field-playtesting-with-experts"&gt;&lt;img src="http://video.itu.dk/64968580/71689098/49a63e0e72a6898a6fec75ef6f97833c/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
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            <pubDate>Wed, 03 Nov 2021 15:25:35 GMT</pubDate>
            <media:title>Field Playtesting with Experts’ Constructive Interaction: An Evaluation...</media:title>
            <itunes:summary>Author: Panayiotis Koutsabasis et al.
Title: Field Playtesting with Experts’ Constructive Interaction: An Evaluation Method for Mobile Games for Cultural Heritage.
Human-Computer Interaction Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: Panayiotis Koutsabasis et al.
Title: Field Playtesting with Experts’ Constructive Interaction: An Evaluation Method for Mobile Games for Cultural Heritage.
Human-Computer Interaction Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>19:32</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: Panayiotis Koutsabasis et al.&lt;br /&gt;
Title: Field Playtesting with Experts’ Constructive Interaction: An Evaluation Method for Mobile Games for Cultural Heritage.&lt;br /&gt;
Human-Computer Interaction Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71689098/field-playtesting-with-experts"&gt;&lt;img src="http://video.itu.dk/64968580/71689098/49a63e0e72a6898a6fec75ef6f97833c/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
            <media:content url="https://video.itu.dk/v.ihtml/player.html?token=49a63e0e72a6898a6fec75ef6f97833c&amp;source=podcast&amp;photo%5fid=71689098" width="625" height="351" type="text/html" medium="video" duration="1172" isDefault="true" expression="full"/>
            <media:thumbnail url="http://video.itu.dk/64968580/71689098/49a63e0e72a6898a6fec75ef6f97833c/standard/download-8-thumbnail.jpg" width="75" height=""/>
            <itunes:image href="http://video.itu.dk/64968580/71689098/49a63e0e72a6898a6fec75ef6f97833c/standard/download-8-thumbnail.jpg/thumbnail.jpg"/>
            <category>2021</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>evaluation</category>
            <category>experts</category>
            <category>koutsabasis</category>
            <category>playtest</category>
        </item>
        <item>
            <enclosure url="http://video.itu.dk/64968580/71689069/72c6ffc80e7098d1c9e4eedb59c609ab/video_hd/amplitude-of-neural-oscillations-in-video.mp4?source=podcast" type="video/mp4" length="12749748"/>
            <title>Amplitude of neural oscillations in the parietal area is associated with the...</title>
            <link>http://video.itu.dk/photo/71689069/amplitude-of-neural-oscillations-in</link>
            <description>&lt;p&gt;Author: Sorato Minami, Ken Watanabe, Naoki Saijo and Makio Kashino.&lt;br /&gt;
Title: Amplitude of neural oscillations in the parietal area is associated with the results of esports competitions.&lt;br /&gt;
Human-Computer Interaction Track - Short Paper (10 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71689069/amplitude-of-neural-oscillations-in"&gt;&lt;img src="http://video.itu.dk/64968580/71689069/72c6ffc80e7098d1c9e4eedb59c609ab/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
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            <pubDate>Wed, 03 Nov 2021 15:25:35 GMT</pubDate>
            <media:title>Amplitude of neural oscillations in the parietal area is associated with the...</media:title>
            <itunes:summary>Author: Sorato Minami, Ken Watanabe, Naoki Saijo and Makio Kashino.
Title: Amplitude of neural oscillations in the parietal area is associated with the results of esports competitions.
Human-Computer Interaction Track - Short Paper (10 min) - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: Sorato Minami, Ken Watanabe, Naoki Saijo and Makio Kashino.
Title: Amplitude of neural oscillations in the parietal area is associated with the results of esports competitions.
Human-Computer Interaction Track - Short Paper (10 min) - IEEE...</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>08:48</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: Sorato Minami, Ken Watanabe, Naoki Saijo and Makio Kashino.&lt;br /&gt;
Title: Amplitude of neural oscillations in the parietal area is associated with the results of esports competitions.&lt;br /&gt;
Human-Computer Interaction Track - Short Paper (10 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71689069/amplitude-of-neural-oscillations-in"&gt;&lt;img src="http://video.itu.dk/64968580/71689069/72c6ffc80e7098d1c9e4eedb59c609ab/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
            <media:content url="https://video.itu.dk/v.ihtml/player.html?token=72c6ffc80e7098d1c9e4eedb59c609ab&amp;source=podcast&amp;photo%5fid=71689069" width="625" height="351" type="text/html" medium="video" duration="528" isDefault="true" expression="full"/>
            <media:thumbnail url="http://video.itu.dk/64968580/71689069/72c6ffc80e7098d1c9e4eedb59c609ab/standard/download-8-thumbnail.jpg" width="75" height=""/>
            <itunes:image href="http://video.itu.dk/64968580/71689069/72c6ffc80e7098d1c9e4eedb59c609ab/standard/download-8-thumbnail.jpg/thumbnail.jpg"/>
            <category>2021</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>esports</category>
            <category>kashino</category>
            <category>minami</category>
            <category>neural</category>
            <category>saijo</category>
            <category>watanabe</category>
        </item>
        <item>
            <enclosure url="http://video.itu.dk/64968567/71689059/466aae50ecd2c952e2838ee55f9ae9cf/video_hd/bcimanager-a-library-for-video.mp4?source=podcast" type="video/mp4" length="17467775"/>
            <title>BCIManager: A library for development of brain-computer interfacing...</title>
            <link>http://video.itu.dk/photo/71689059/bcimanager-a-library-for</link>
            <description>&lt;p&gt;Author: Filip Škola and Fotis Liarokapis.&lt;br /&gt;
Title: BCIManager: A library for development of brain-computer interfacing applications in Unity.&lt;br /&gt;
Human-Computer Interaction Track - Short Paper (10 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71689059/bcimanager-a-library-for"&gt;&lt;img src="http://video.itu.dk/64968567/71689059/466aae50ecd2c952e2838ee55f9ae9cf/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
            <guid>http://video.itu.dk/photo/71689059</guid>
            <pubDate>Wed, 03 Nov 2021 15:25:35 GMT</pubDate>
            <media:title>BCIManager: A library for development of brain-computer interfacing...</media:title>
            <itunes:summary>Author: Filip Škola and Fotis Liarokapis.
Title: BCIManager: A library for development of brain-computer interfacing applications in Unity.
Human-Computer Interaction Track - Short Paper (10 min) - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: Filip Škola and Fotis Liarokapis.
Title: BCIManager: A library for development of brain-computer interfacing applications in Unity.
Human-Computer Interaction Track - Short Paper (10 min) - IEEE Conference on Games 2021</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>07:28</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: Filip Škola and Fotis Liarokapis.&lt;br /&gt;
Title: BCIManager: A library for development of brain-computer interfacing applications in Unity.&lt;br /&gt;
Human-Computer Interaction Track - Short Paper (10 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71689059/bcimanager-a-library-for"&gt;&lt;img src="http://video.itu.dk/64968567/71689059/466aae50ecd2c952e2838ee55f9ae9cf/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
            <media:content url="https://video.itu.dk/v.ihtml/player.html?token=466aae50ecd2c952e2838ee55f9ae9cf&amp;source=podcast&amp;photo%5fid=71689059" width="625" height="351" type="text/html" medium="video" duration="448" isDefault="true" expression="full"/>
            <media:thumbnail url="http://video.itu.dk/64968567/71689059/466aae50ecd2c952e2838ee55f9ae9cf/standard/download-8-thumbnail.jpg" width="75" height=""/>
            <itunes:image href="http://video.itu.dk/64968567/71689059/466aae50ecd2c952e2838ee55f9ae9cf/standard/download-8-thumbnail.jpg/thumbnail.jpg"/>
            <category>2021</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>interface</category>
            <category>Liarokapis</category>
            <category>library</category>
            <category>Škola</category>
            <category>unity</category>
        </item>
        <item>
            <enclosure url="http://video.itu.dk/64968560/71689049/fc825065da73b98318150277a39785d6/video_hd/some-chess-specific-improvements-video.mp4?source=podcast" type="video/mp4" length="30860174"/>
            <title>Some Chess-Specific Improvements for  Perturbation-Based Saliency Maps</title>
            <link>http://video.itu.dk/photo/71689049/some-chess-specific-improvements</link>
            <description>&lt;p&gt;Author: Jessica Fritz and Johannes Fürnkranz.&lt;br /&gt;
Title: Some Chess-Specific Improvements for Perturbation-Based Saliency Maps.&lt;br /&gt;
Human-Computer Interaction Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71689049/some-chess-specific-improvements"&gt;&lt;img src="http://video.itu.dk/64968560/71689049/fc825065da73b98318150277a39785d6/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
            <guid>http://video.itu.dk/photo/71689049</guid>
            <pubDate>Wed, 03 Nov 2021 15:25:35 GMT</pubDate>
            <media:title>Some Chess-Specific Improvements for  Perturbation-Based Saliency Maps</media:title>
            <itunes:summary>Author: Jessica Fritz and Johannes Fürnkranz.
Title: Some Chess-Specific Improvements for Perturbation-Based Saliency Maps.
Human-Computer Interaction Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: Jessica Fritz and Johannes Fürnkranz.
Title: Some Chess-Specific Improvements for Perturbation-Based Saliency Maps.
Human-Computer Interaction Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>20:14</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: Jessica Fritz and Johannes Fürnkranz.&lt;br /&gt;
Title: Some Chess-Specific Improvements for Perturbation-Based Saliency Maps.&lt;br /&gt;
Human-Computer Interaction Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71689049/some-chess-specific-improvements"&gt;&lt;img src="http://video.itu.dk/64968560/71689049/fc825065da73b98318150277a39785d6/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
            <media:content url="https://video.itu.dk/v.ihtml/player.html?token=fc825065da73b98318150277a39785d6&amp;source=podcast&amp;photo%5fid=71689049" width="625" height="351" type="text/html" medium="video" duration="1214" isDefault="true" expression="full"/>
            <media:thumbnail url="http://video.itu.dk/64968560/71689049/fc825065da73b98318150277a39785d6/standard/download-8-thumbnail.jpg" width="75" height=""/>
            <itunes:image href="http://video.itu.dk/64968560/71689049/fc825065da73b98318150277a39785d6/standard/download-8-thumbnail.jpg/thumbnail.jpg"/>
            <category>2021</category>
            <category>chess</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>fritz</category>
            <category>fürnkranz</category>
            <category>maps</category>
            <category>pertubation</category>
            <category>saliency</category>
        </item>
        <item>
            <enclosure url="http://video.itu.dk/64968580/71689024/f5c083d600f79e154116b0cec8cfcd3c/video_hd/towards-a-multi-agent-non-player-video.mp4?source=podcast" type="video/mp4" length="12618538"/>
            <title>Towards a multi-agent non-player character road network: a Reinforcement...</title>
            <link>http://video.itu.dk/photo/71689024/towards-a-multi-agent-non-player</link>
            <description>&lt;p&gt;Author: Stela Makri and Panayiotis Charalambous.&lt;br /&gt;
Title: Towards a multi-agent non-player character road network: a Reinforcement Learning approach.&lt;br /&gt;
AI for Novel Interaction Track - Short Paper (10 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71689024/towards-a-multi-agent-non-player"&gt;&lt;img src="http://video.itu.dk/64968580/71689024/f5c083d600f79e154116b0cec8cfcd3c/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
            <guid>http://video.itu.dk/photo/71689024</guid>
            <pubDate>Wed, 03 Nov 2021 15:25:35 GMT</pubDate>
            <media:title>Towards a multi-agent non-player character road network: a Reinforcement...</media:title>
            <itunes:summary>Author: Stela Makri and Panayiotis Charalambous.
Title: Towards a multi-agent non-player character road network: a Reinforcement Learning approach.
AI for Novel Interaction Track - Short Paper (10 min) - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: Stela Makri and Panayiotis Charalambous.
Title: Towards a multi-agent non-player character road network: a Reinforcement Learning approach.
AI for Novel Interaction Track - Short Paper (10 min) - IEEE Conference on Games 2021</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>07:02</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: Stela Makri and Panayiotis Charalambous.&lt;br /&gt;
Title: Towards a multi-agent non-player character road network: a Reinforcement Learning approach.&lt;br /&gt;
AI for Novel Interaction Track - Short Paper (10 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71689024/towards-a-multi-agent-non-player"&gt;&lt;img src="http://video.itu.dk/64968580/71689024/f5c083d600f79e154116b0cec8cfcd3c/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
            <media:content url="https://video.itu.dk/v.ihtml/player.html?token=f5c083d600f79e154116b0cec8cfcd3c&amp;source=podcast&amp;photo%5fid=71689024" width="625" height="351" type="text/html" medium="video" duration="422" isDefault="true" expression="full"/>
            <media:thumbnail url="http://video.itu.dk/64968580/71689024/f5c083d600f79e154116b0cec8cfcd3c/standard/download-8-thumbnail.jpg" width="75" height=""/>
            <itunes:image href="http://video.itu.dk/64968580/71689024/f5c083d600f79e154116b0cec8cfcd3c/standard/download-8-thumbnail.jpg/thumbnail.jpg"/>
            <category>2021</category>
            <category>charalambous</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>learning</category>
            <category>makri</category>
            <category>reinforcement</category>
        </item>
        <item>
            <enclosure url="http://video.itu.dk/64968566/71688965/476564cd26fdf1e5828ea867571e8fae/video_hd/a-theoretical-framework-for-video.mp4?source=podcast" type="video/mp4" length="19171368"/>
            <title>A Theoretical Framework for Managing Suspense in Games</title>
            <link>http://video.itu.dk/photo/71688965/a-theoretical-framework-for</link>
            <description>&lt;p&gt;Author: Ying Zhu.&lt;br /&gt;
Title: A Theoretical Framework for Managing Suspense in Games.&lt;br /&gt;
AI for Novel Interaction Track - Short Paper (10 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71688965/a-theoretical-framework-for"&gt;&lt;img src="http://video.itu.dk/64968566/71688965/476564cd26fdf1e5828ea867571e8fae/standard/download-6-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
            <guid>http://video.itu.dk/photo/71688965</guid>
            <pubDate>Wed, 03 Nov 2021 15:25:35 GMT</pubDate>
            <media:title>A Theoretical Framework for Managing Suspense in Games</media:title>
            <itunes:summary>Author: Ying Zhu.
Title: A Theoretical Framework for Managing Suspense in Games.
AI for Novel Interaction Track - Short Paper (10 min) - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: Ying Zhu.
Title: A Theoretical Framework for Managing Suspense in Games.
AI for Novel Interaction Track - Short Paper (10 min) - IEEE Conference on Games 2021</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>12:43</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: Ying Zhu.&lt;br /&gt;
Title: A Theoretical Framework for Managing Suspense in Games.&lt;br /&gt;
AI for Novel Interaction Track - Short Paper (10 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71688965/a-theoretical-framework-for"&gt;&lt;img src="http://video.itu.dk/64968566/71688965/476564cd26fdf1e5828ea867571e8fae/standard/download-6-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
            <media:content url="https://video.itu.dk/v.ihtml/player.html?token=476564cd26fdf1e5828ea867571e8fae&amp;source=podcast&amp;photo%5fid=71688965" width="625" height="351" type="text/html" medium="video" duration="763" isDefault="true" expression="full"/>
            <media:thumbnail url="http://video.itu.dk/64968566/71688965/476564cd26fdf1e5828ea867571e8fae/standard/download-6-thumbnail.jpg" width="75" height=""/>
            <itunes:image href="http://video.itu.dk/64968566/71688965/476564cd26fdf1e5828ea867571e8fae/standard/download-6-thumbnail.jpg/thumbnail.jpg"/>
            <category>2021</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>framework</category>
            <category>suspense</category>
            <category>zhu</category>
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        <item>
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            <title>TreeCare: Development and Evaluation of a Persuasive Mobile Game for...</title>
            <link>http://video.itu.dk/photo/71689102/treecare-development-and-evaluation</link>
            <description>&lt;p&gt;Author: Oladapo Oyebode, Anirudh Ganesh and Rita Orji.&lt;br /&gt;
Title: TreeCare: Development and Evaluation of a Persuasive Mobile Game for Promoting Physical Activity.&lt;br /&gt;
Human-Computer Interaction Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71689102/treecare-development-and-evaluation"&gt;&lt;img src="http://video.itu.dk/64968566/71689102/364ea7c4b201bc5574e62e752cb300db/standard/download-7-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
            <guid>http://video.itu.dk/photo/71689102</guid>
            <pubDate>Wed, 03 Nov 2021 15:25:35 GMT</pubDate>
            <media:title>TreeCare: Development and Evaluation of a Persuasive Mobile Game for...</media:title>
            <itunes:summary>Author: Oladapo Oyebode, Anirudh Ganesh and Rita Orji.
Title: TreeCare: Development and Evaluation of a Persuasive Mobile Game for Promoting Physical Activity.
Human-Computer Interaction Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: Oladapo Oyebode, Anirudh Ganesh and Rita Orji.
Title: TreeCare: Development and Evaluation of a Persuasive Mobile Game for Promoting Physical Activity.
Human-Computer Interaction Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>19:37</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: Oladapo Oyebode, Anirudh Ganesh and Rita Orji.&lt;br /&gt;
Title: TreeCare: Development and Evaluation of a Persuasive Mobile Game for Promoting Physical Activity.&lt;br /&gt;
Human-Computer Interaction Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71689102/treecare-development-and-evaluation"&gt;&lt;img src="http://video.itu.dk/64968566/71689102/364ea7c4b201bc5574e62e752cb300db/standard/download-7-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
            <media:content url="https://video.itu.dk/v.ihtml/player.html?token=364ea7c4b201bc5574e62e752cb300db&amp;source=podcast&amp;photo%5fid=71689102" width="625" height="351" type="text/html" medium="video" duration="1177" isDefault="true" expression="full"/>
            <media:thumbnail url="http://video.itu.dk/64968566/71689102/364ea7c4b201bc5574e62e752cb300db/standard/download-7-thumbnail.jpg" width="75" height=""/>
            <itunes:image href="http://video.itu.dk/64968566/71689102/364ea7c4b201bc5574e62e752cb300db/standard/download-7-thumbnail.jpg/thumbnail.jpg"/>
            <category>2021</category>
            <category>activity</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>evaluation</category>
            <category>persuasive</category>
            <category>physical</category>
        </item>
        <item>
            <enclosure url="http://video.itu.dk/64968578/71689115/af1b55cd5d431db61139b7c7336da1ac/video_hd/die-r-consequences-player-video.mp4?source=podcast" type="video/mp4" length="15928242"/>
            <title>Die-r Consequences: Player Experience and the Design of Failure through...</title>
            <link>http://video.itu.dk/photo/71689115/die-r-consequences-player</link>
            <description>&lt;p&gt;Author: Marjorie Ann Cuerdo, Anika Mahajan and Edward Melcer.&lt;br /&gt;
Title: Die-r Consequences: Player Experience and the Design of Failure through Respawning Mechanics.&lt;br /&gt;
Human-Computer Interaction Track - Short Paper (10 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71689115/die-r-consequences-player"&gt;&lt;img src="http://video.itu.dk/64968578/71689115/af1b55cd5d431db61139b7c7336da1ac/standard/download-7-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
            <guid>http://video.itu.dk/photo/71689115</guid>
            <pubDate>Wed, 03 Nov 2021 15:25:35 GMT</pubDate>
            <media:title>Die-r Consequences: Player Experience and the Design of Failure through...</media:title>
            <itunes:summary>Author: Marjorie Ann Cuerdo, Anika Mahajan and Edward Melcer.
Title: Die-r Consequences: Player Experience and the Design of Failure through Respawning Mechanics.
Human-Computer Interaction Track - Short Paper (10 min) - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: Marjorie Ann Cuerdo, Anika Mahajan and Edward Melcer.
Title: Die-r Consequences: Player Experience and the Design of Failure through Respawning Mechanics.
Human-Computer Interaction Track - Short Paper (10 min) - IEEE Conference on Games 2021</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>09:48</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: Marjorie Ann Cuerdo, Anika Mahajan and Edward Melcer.&lt;br /&gt;
Title: Die-r Consequences: Player Experience and the Design of Failure through Respawning Mechanics.&lt;br /&gt;
Human-Computer Interaction Track - Short Paper (10 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71689115/die-r-consequences-player"&gt;&lt;img src="http://video.itu.dk/64968578/71689115/af1b55cd5d431db61139b7c7336da1ac/standard/download-7-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
            <media:content url="https://video.itu.dk/v.ihtml/player.html?token=af1b55cd5d431db61139b7c7336da1ac&amp;source=podcast&amp;photo%5fid=71689115" width="625" height="351" type="text/html" medium="video" duration="588" isDefault="true" expression="full"/>
            <media:thumbnail url="http://video.itu.dk/64968578/71689115/af1b55cd5d431db61139b7c7336da1ac/standard/download-7-thumbnail.jpg" width="75" height=""/>
            <itunes:image href="http://video.itu.dk/64968578/71689115/af1b55cd5d431db61139b7c7336da1ac/standard/download-7-thumbnail.jpg/thumbnail.jpg"/>
            <category>2021</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>cuerdo</category>
            <category>experience</category>
            <category>failure</category>
            <category>mahajan</category>
            <category>melcer</category>
            <category>player</category>
            <category>respawn</category>
        </item>
        <item>
            <enclosure url="http://video.itu.dk/64968580/71757580/ccf87d942477ea2308b56af7bb480ace/video_hd/adaptive-general-search-framework-video.mp4?source=podcast" type="video/mp4" length="31594908"/>
            <title>Adaptive General Search Framework for Games and Beyond.</title>
            <link>http://video.itu.dk/photo/71757580/adaptive-general-search-framework</link>
            <description>&lt;p&gt;Author: Chiara F. Sironi and Mark H. M. Winands.&lt;br /&gt;
Title: Adaptive General Search Framework for Games and Beyond.&lt;br /&gt;
Plenary - Vision - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71757580/adaptive-general-search-framework"&gt;&lt;img src="http://video.itu.dk/64968580/71757580/ccf87d942477ea2308b56af7bb480ace/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
            <guid>http://video.itu.dk/photo/71757580</guid>
            <pubDate>Wed, 03 Nov 2021 15:25:35 GMT</pubDate>
            <media:title>Adaptive General Search Framework for Games and Beyond.</media:title>
            <itunes:summary>Author: Chiara F. Sironi and Mark H. M. Winands.
Title: Adaptive General Search Framework for Games and Beyond.
Plenary - Vision - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: Chiara F. Sironi and Mark H. M. Winands.
Title: Adaptive General Search Framework for Games and Beyond.
Plenary - Vision - IEEE Conference on Games 2021</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>21:36</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: Chiara F. Sironi and Mark H. M. Winands.&lt;br /&gt;
Title: Adaptive General Search Framework for Games and Beyond.&lt;br /&gt;
Plenary - Vision - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71757580/adaptive-general-search-framework"&gt;&lt;img src="http://video.itu.dk/64968580/71757580/ccf87d942477ea2308b56af7bb480ace/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
            <media:content url="https://video.itu.dk/v.ihtml/player.html?token=ccf87d942477ea2308b56af7bb480ace&amp;source=podcast&amp;photo%5fid=71757580" width="625" height="351" type="text/html" medium="video" duration="1296" isDefault="true" expression="full"/>
            <media:thumbnail url="http://video.itu.dk/64968580/71757580/ccf87d942477ea2308b56af7bb480ace/standard/download-8-thumbnail.jpg" width="75" height=""/>
            <itunes:image href="http://video.itu.dk/64968580/71757580/ccf87d942477ea2308b56af7bb480ace/standard/download-8-thumbnail.jpg/thumbnail.jpg"/>
            <category>21</category>
            <category>adaptive</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>framework</category>
            <category>search</category>
            <category>sironi</category>
            <category>winands</category>
        </item>
        <item>
            <enclosure url="http://video.itu.dk/64968569/71757591/00cc3892199d8a31caa2fda1ea91a8d9/video_hd/elympics-detecting-doping-in-video.mp4?source=podcast" type="video/mp4" length="31764024"/>
            <title>Elympics - Detecting doping in mobile e-sports</title>
            <link>http://video.itu.dk/photo/71757591/elympics-detecting-doping-in</link>
            <description>&lt;p&gt;Author: Jakub Karczewski.&lt;br /&gt;
Title: Elympics - Detecting doping in mobile e-sports.&lt;br /&gt;
Plenary - Sponsored Talk - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71757591/elympics-detecting-doping-in"&gt;&lt;img src="http://video.itu.dk/64968569/71757591/00cc3892199d8a31caa2fda1ea91a8d9/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
            <guid>http://video.itu.dk/photo/71757591</guid>
            <pubDate>Wed, 03 Nov 2021 15:25:35 GMT</pubDate>
            <media:title>Elympics - Detecting doping in mobile e-sports</media:title>
            <itunes:summary>Author: Jakub Karczewski.
Title: Elympics - Detecting doping in mobile e-sports.
Plenary - Sponsored Talk - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: Jakub Karczewski.
Title: Elympics - Detecting doping in mobile e-sports.
Plenary - Sponsored Talk - IEEE Conference on Games 2021</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>23:34</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: Jakub Karczewski.&lt;br /&gt;
Title: Elympics - Detecting doping in mobile e-sports.&lt;br /&gt;
Plenary - Sponsored Talk - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71757591/elympics-detecting-doping-in"&gt;&lt;img src="http://video.itu.dk/64968569/71757591/00cc3892199d8a31caa2fda1ea91a8d9/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
            <media:content url="https://video.itu.dk/v.ihtml/player.html?token=00cc3892199d8a31caa2fda1ea91a8d9&amp;source=podcast&amp;photo%5fid=71757591" width="625" height="351" type="text/html" medium="video" duration="1414" isDefault="true" expression="full"/>
            <media:thumbnail url="http://video.itu.dk/64968569/71757591/00cc3892199d8a31caa2fda1ea91a8d9/standard/download-8-thumbnail.jpg" width="75" height=""/>
            <itunes:image href="http://video.itu.dk/64968569/71757591/00cc3892199d8a31caa2fda1ea91a8d9/standard/download-8-thumbnail.jpg/thumbnail.jpg"/>
            <category>2021</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>doping</category>
            <category>elympics</category>
            <category>e-sports</category>
            <category>karczewski</category>
        </item>
        <item>
            <enclosure url="http://video.itu.dk/64968568/71764985/e1cff97a305cf5ab191ec3572b452c4f/video_hd/the-social-responsibility-of-ai-video.mp4?source=podcast" type="video/mp4" length="189957944"/>
            <title>The Social Responsibility of AI</title>
            <link>http://video.itu.dk/photo/71764985/the-social-responsibility-of-ai</link>
            <description>&lt;p&gt;Author: Michael Cook.&lt;br /&gt;
Title: The Social Responsibility of AI.&lt;br /&gt;
Plenary - Vision -  IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71764985/the-social-responsibility-of-ai"&gt;&lt;img src="http://video.itu.dk/64968568/71764985/e1cff97a305cf5ab191ec3572b452c4f/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
            <guid>http://video.itu.dk/photo/71764985</guid>
            <pubDate>Wed, 03 Nov 2021 15:25:35 GMT</pubDate>
            <media:title>The Social Responsibility of AI</media:title>
            <itunes:summary>Author: Michael Cook.
Title: The Social Responsibility of AI.
Plenary - Vision -  IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: Michael Cook.
Title: The Social Responsibility of AI.
Plenary - Vision -  IEEE Conference on Games 2021</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>30:15</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: Michael Cook.&lt;br /&gt;
Title: The Social Responsibility of AI.&lt;br /&gt;
Plenary - Vision -  IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71764985/the-social-responsibility-of-ai"&gt;&lt;img src="http://video.itu.dk/64968568/71764985/e1cff97a305cf5ab191ec3572b452c4f/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
            <media:content url="https://video.itu.dk/v.ihtml/player.html?token=e1cff97a305cf5ab191ec3572b452c4f&amp;source=podcast&amp;photo%5fid=71764985" width="625" height="351" type="text/html" medium="video" duration="1815" isDefault="true" expression="full"/>
            <media:thumbnail url="http://video.itu.dk/64968568/71764985/e1cff97a305cf5ab191ec3572b452c4f/standard/download-8-thumbnail.jpg" width="75" height=""/>
            <itunes:image href="http://video.itu.dk/64968568/71764985/e1cff97a305cf5ab191ec3572b452c4f/standard/download-8-thumbnail.jpg/thumbnail.jpg"/>
            <category>2021</category>
            <category>ai</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>cook</category>
            <category>responsibility</category>
            <category>social</category>
        </item>
        <item>
            <enclosure url="http://video.itu.dk/64968578/71765096/74113d2566858fed2d34c98298064e04/video_hd/matchmaking-why-good-is-not-good-video.mp4?source=podcast" type="video/mp4" length="34937097"/>
            <title>Matchmaking: why good is not good enough?</title>
            <link>http://video.itu.dk/photo/71765096/matchmaking-why-good-is-not-good</link>
            <description>&lt;p&gt;Author: Michał Dąbrowski.&lt;br /&gt;
Title: Matchmaking: why good is not good enough?&lt;br /&gt;
Plenary - Sponsored Talk - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71765096/matchmaking-why-good-is-not-good"&gt;&lt;img src="http://video.itu.dk/64968578/71765096/74113d2566858fed2d34c98298064e04/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
            <guid>http://video.itu.dk/photo/71765096</guid>
            <pubDate>Wed, 03 Nov 2021 15:25:35 GMT</pubDate>
            <media:title>Matchmaking: why good is not good enough?</media:title>
            <itunes:summary>Author: Michał Dąbrowski.
Title: Matchmaking: why good is not good enough?
Plenary - Sponsored Talk - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: Michał Dąbrowski.
Title: Matchmaking: why good is not good enough?
Plenary - Sponsored Talk - IEEE Conference on Games 2021</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>24:37</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: Michał Dąbrowski.&lt;br /&gt;
Title: Matchmaking: why good is not good enough?&lt;br /&gt;
Plenary - Sponsored Talk - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71765096/matchmaking-why-good-is-not-good"&gt;&lt;img src="http://video.itu.dk/64968578/71765096/74113d2566858fed2d34c98298064e04/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
            <media:content url="https://video.itu.dk/v.ihtml/player.html?token=74113d2566858fed2d34c98298064e04&amp;source=podcast&amp;photo%5fid=71765096" width="625" height="351" type="text/html" medium="video" duration="1477" isDefault="true" expression="full"/>
            <media:thumbnail url="http://video.itu.dk/64968578/71765096/74113d2566858fed2d34c98298064e04/standard/download-8-thumbnail.jpg" width="75" height=""/>
            <itunes:image href="http://video.itu.dk/64968578/71765096/74113d2566858fed2d34c98298064e04/standard/download-8-thumbnail.jpg/thumbnail.jpg"/>
            <category>2021</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>dąbrowski</category>
            <category>matchmaking</category>
        </item>
        <item>
            <enclosure url="http://video.itu.dk/64968570/71765632/151693ac54e83fc330acc7a3134183f7/video_hd/procedural-content-generation-video.mp4?source=podcast" type="video/mp4" length="31016175"/>
            <title>Procedural Content Generation: Better Benchmarks for Transfer Reinforcement...</title>
            <link>http://video.itu.dk/photo/71765632/procedural-content-generation</link>
            <description>&lt;p&gt;Author: Mathias Müller-Brockhausen, Mike Preuss and Aske Plaat.&lt;br /&gt;
Title: Procedural Content Generation: Better Benchmarks for Transfer Reinforcement Learning.&lt;br /&gt;
Plenary - Vision - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71765632/procedural-content-generation"&gt;&lt;img src="http://video.itu.dk/64968570/71765632/151693ac54e83fc330acc7a3134183f7/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
            <guid>http://video.itu.dk/photo/71765632</guid>
            <pubDate>Wed, 03 Nov 2021 15:25:35 GMT</pubDate>
            <media:title>Procedural Content Generation: Better Benchmarks for Transfer Reinforcement...</media:title>
            <itunes:summary>Author: Mathias Müller-Brockhausen, Mike Preuss and Aske Plaat.
Title: Procedural Content Generation: Better Benchmarks for Transfer Reinforcement Learning.
Plenary - Vision - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: Mathias Müller-Brockhausen, Mike Preuss and Aske Plaat.
Title: Procedural Content Generation: Better Benchmarks for Transfer Reinforcement Learning.
Plenary - Vision - IEEE Conference on Games 2021</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>18:46</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: Mathias Müller-Brockhausen, Mike Preuss and Aske Plaat.&lt;br /&gt;
Title: Procedural Content Generation: Better Benchmarks for Transfer Reinforcement Learning.&lt;br /&gt;
Plenary - Vision - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71765632/procedural-content-generation"&gt;&lt;img src="http://video.itu.dk/64968570/71765632/151693ac54e83fc330acc7a3134183f7/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
            <media:content url="https://video.itu.dk/v.ihtml/player.html?token=151693ac54e83fc330acc7a3134183f7&amp;source=podcast&amp;photo%5fid=71765632" width="625" height="351" type="text/html" medium="video" duration="1126" isDefault="true" expression="full"/>
            <media:thumbnail url="http://video.itu.dk/64968570/71765632/151693ac54e83fc330acc7a3134183f7/standard/download-8-thumbnail.jpg" width="75" height=""/>
            <itunes:image href="http://video.itu.dk/64968570/71765632/151693ac54e83fc330acc7a3134183f7/standard/download-8-thumbnail.jpg/thumbnail.jpg"/>
            <category>2021</category>
            <category>benchmark</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>learning</category>
            <category>müller</category>
            <category>plaat</category>
            <category>preuss</category>
            <category>procedural</category>
            <category>reinforcement</category>
        </item>
        <item>
            <enclosure url="http://video.itu.dk/64968576/71765704/a5b0f602706ff178cdf5390ee68e886e/video_hd/games-and-artificial-life-video.mp4?source=podcast" type="video/mp4" length="91019819"/>
            <title>Games and Artificial Life</title>
            <link>http://video.itu.dk/photo/71765704/games-and-artificial-life</link>
            <description>&lt;p&gt;Author: Lana Sinapayen.&lt;br /&gt;
Title: Games and Artificial Life.&lt;br /&gt;
Plenary - Keynote - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71765704/games-and-artificial-life"&gt;&lt;img src="http://video.itu.dk/64968576/71765704/a5b0f602706ff178cdf5390ee68e886e/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
            <guid>http://video.itu.dk/photo/71765704</guid>
            <pubDate>Wed, 03 Nov 2021 15:25:34 GMT</pubDate>
            <media:title>Games and Artificial Life</media:title>
            <itunes:summary>Author: Lana Sinapayen.
Title: Games and Artificial Life.
Plenary - Keynote - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: Lana Sinapayen.
Title: Games and Artificial Life.
Plenary - Keynote - IEEE Conference on Games 2021</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>38:45</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: Lana Sinapayen.&lt;br /&gt;
Title: Games and Artificial Life.&lt;br /&gt;
Plenary - Keynote - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71765704/games-and-artificial-life"&gt;&lt;img src="http://video.itu.dk/64968576/71765704/a5b0f602706ff178cdf5390ee68e886e/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
            <media:content url="https://video.itu.dk/v.ihtml/player.html?token=a5b0f602706ff178cdf5390ee68e886e&amp;source=podcast&amp;photo%5fid=71765704" width="625" height="351" type="text/html" medium="video" duration="2325" isDefault="true" expression="full"/>
            <media:thumbnail url="http://video.itu.dk/64968576/71765704/a5b0f602706ff178cdf5390ee68e886e/standard/download-8-thumbnail.jpg" width="75" height=""/>
            <itunes:image href="http://video.itu.dk/64968576/71765704/a5b0f602706ff178cdf5390ee68e886e/standard/download-8-thumbnail.jpg/thumbnail.jpg"/>
            <category>2021</category>
            <category>artificial</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>games</category>
            <category>life</category>
            <category>sinapayen</category>
        </item>
        <item>
            <enclosure url="http://video.itu.dk/64968576/71766048/c06b87186f79e1046d8efaaa320f6bf7/video_hd/ai-transformation-at-playtika-video.mp4?source=podcast" type="video/mp4" length="38750463"/>
            <title>AI Transformation at Playtika</title>
            <link>http://video.itu.dk/photo/71766048/ai-transformation-at-playtika</link>
            <description>&lt;p&gt;Author: Assaf Asbag.&lt;br /&gt;
Title: AI Transformation at Playtika.&lt;br /&gt;
Plenary - Sponsored Talk -  IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71766048/ai-transformation-at-playtika"&gt;&lt;img src="http://video.itu.dk/64968576/71766048/c06b87186f79e1046d8efaaa320f6bf7/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
            <guid>http://video.itu.dk/photo/71766048</guid>
            <pubDate>Wed, 03 Nov 2021 15:25:34 GMT</pubDate>
            <media:title>AI Transformation at Playtika</media:title>
            <itunes:summary>Author: Assaf Asbag.
Title: AI Transformation at Playtika.
Plenary - Sponsored Talk -  IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: Assaf Asbag.
Title: AI Transformation at Playtika.
Plenary - Sponsored Talk -  IEEE Conference on Games 2021</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>24:53</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: Assaf Asbag.&lt;br /&gt;
Title: AI Transformation at Playtika.&lt;br /&gt;
Plenary - Sponsored Talk -  IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71766048/ai-transformation-at-playtika"&gt;&lt;img src="http://video.itu.dk/64968576/71766048/c06b87186f79e1046d8efaaa320f6bf7/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
            <media:content url="https://video.itu.dk/v.ihtml/player.html?token=c06b87186f79e1046d8efaaa320f6bf7&amp;source=podcast&amp;photo%5fid=71766048" width="625" height="351" type="text/html" medium="video" duration="1493" isDefault="true" expression="full"/>
            <media:thumbnail url="http://video.itu.dk/64968576/71766048/c06b87186f79e1046d8efaaa320f6bf7/standard/download-8-thumbnail.jpg" width="75" height=""/>
            <itunes:image href="http://video.itu.dk/64968576/71766048/c06b87186f79e1046d8efaaa320f6bf7/standard/download-8-thumbnail.jpg/thumbnail.jpg"/>
            <category>2021</category>
            <category>ai</category>
            <category>asbag</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>playtika</category>
        </item>
        <item>
            <enclosure url="http://video.itu.dk/64968560/71684223/0b9668264d2a4f91abc17971fabe5f6e/video_hd/statistical-modelling-of-level-video.mp4?source=podcast" type="video/mp4" length="34724097"/>
            <title>Statistical Modelling of Level Difficulty in Puzzle Games</title>
            <link>http://video.itu.dk/photo/71684223/statistical-modelling-of-level</link>
            <description>&lt;p&gt;Author: Jeppe Theiss Kristensen, Arturo Valdivia and Paolo Burelli.&lt;br /&gt;
Title: Statistical Modelling of Level Difficulty in Puzzle Games.&lt;br /&gt;
Analytics and Player Psychology Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71684223/statistical-modelling-of-level"&gt;&lt;img src="http://video.itu.dk/64968560/71684223/0b9668264d2a4f91abc17971fabe5f6e/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
            <guid>http://video.itu.dk/photo/71684223</guid>
            <pubDate>Wed, 03 Nov 2021 15:23:58 GMT</pubDate>
            <media:title>Statistical Modelling of Level Difficulty in Puzzle Games</media:title>
            <itunes:summary>Author: Jeppe Theiss Kristensen, Arturo Valdivia and Paolo Burelli.
Title: Statistical Modelling of Level Difficulty in Puzzle Games.
Analytics and Player Psychology Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: Jeppe Theiss Kristensen, Arturo Valdivia and Paolo Burelli.
Title: Statistical Modelling of Level Difficulty in Puzzle Games.
Analytics and Player Psychology Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>20:20</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: Jeppe Theiss Kristensen, Arturo Valdivia and Paolo Burelli.&lt;br /&gt;
Title: Statistical Modelling of Level Difficulty in Puzzle Games.&lt;br /&gt;
Analytics and Player Psychology Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71684223/statistical-modelling-of-level"&gt;&lt;img src="http://video.itu.dk/64968560/71684223/0b9668264d2a4f91abc17971fabe5f6e/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
            <media:content url="https://video.itu.dk/v.ihtml/player.html?token=0b9668264d2a4f91abc17971fabe5f6e&amp;source=podcast&amp;photo%5fid=71684223" width="625" height="351" type="text/html" medium="video" duration="1220" isDefault="true" expression="full"/>
            <media:thumbnail url="http://video.itu.dk/64968560/71684223/0b9668264d2a4f91abc17971fabe5f6e/standard/download-8-thumbnail.jpg" width="75" height=""/>
            <itunes:image href="http://video.itu.dk/64968560/71684223/0b9668264d2a4f91abc17971fabe5f6e/standard/download-8-thumbnail.jpg/thumbnail.jpg"/>
            <category>2021</category>
            <category>Burelli</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>difficulty</category>
            <category>Kristensen</category>
            <category>modelling</category>
            <category>Valdivia</category>
        </item>
        <item>
            <enclosure url="http://video.itu.dk/64968559/71684237/da12fe4b3207f83689d4f0872aa35aea/video_hd/predicting-beliefs-from-npc-video.mp4?source=podcast" type="video/mp4" length="24675114"/>
            <title>Predicting Beliefs from NPC Dialogues</title>
            <link>http://video.itu.dk/photo/71684237/predicting-beliefs-from-npc</link>
            <description>&lt;p&gt;Author: Jason Bowey, Julian Frommel, Brandon Piller and Regan Manryk.&lt;br /&gt;
Title: Predicting Beliefs from NPC Dialogues.&lt;br /&gt;
Analytics and Player Psychology Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71684237/predicting-beliefs-from-npc"&gt;&lt;img src="http://video.itu.dk/64968559/71684237/da12fe4b3207f83689d4f0872aa35aea/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
            <guid>http://video.itu.dk/photo/71684237</guid>
            <pubDate>Wed, 03 Nov 2021 15:23:58 GMT</pubDate>
            <media:title>Predicting Beliefs from NPC Dialogues</media:title>
            <itunes:summary>Author: Jason Bowey, Julian Frommel, Brandon Piller and Regan Manryk.
Title: Predicting Beliefs from NPC Dialogues.
Analytics and Player Psychology Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: Jason Bowey, Julian Frommel, Brandon Piller and Regan Manryk.
Title: Predicting Beliefs from NPC Dialogues.
Analytics and Player Psychology Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>19:19</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: Jason Bowey, Julian Frommel, Brandon Piller and Regan Manryk.&lt;br /&gt;
Title: Predicting Beliefs from NPC Dialogues.&lt;br /&gt;
Analytics and Player Psychology Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71684237/predicting-beliefs-from-npc"&gt;&lt;img src="http://video.itu.dk/64968559/71684237/da12fe4b3207f83689d4f0872aa35aea/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
            <media:content url="https://video.itu.dk/v.ihtml/player.html?token=da12fe4b3207f83689d4f0872aa35aea&amp;source=podcast&amp;photo%5fid=71684237" width="625" height="351" type="text/html" medium="video" duration="1159" isDefault="true" expression="full"/>
            <media:thumbnail url="http://video.itu.dk/64968559/71684237/da12fe4b3207f83689d4f0872aa35aea/standard/download-8-thumbnail.jpg" width="75" height=""/>
            <itunes:image href="http://video.itu.dk/64968559/71684237/da12fe4b3207f83689d4f0872aa35aea/standard/download-8-thumbnail.jpg/thumbnail.jpg"/>
            <category>2021</category>
            <category>bowey</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>dialogues</category>
            <category>frommel</category>
            <category>manryk</category>
            <category>npc</category>
            <category>piller</category>
            <category>predicting</category>
        </item>
        <item>
            <enclosure url="http://video.itu.dk/64968561/71684288/050237fcd28875d23a856846123e245f/video_hd/economic-indicators-for-video.mp4?source=podcast" type="video/mp4" length="12745362"/>
            <title>Economic Indicators for Decision-Making in Operating Massive Multiplayer...</title>
            <link>http://video.itu.dk/photo/71684288/economic-indicators-for</link>
            <description>&lt;p&gt;Author: Átila Moreira, Francisco Ramos, Flávia Barros and Geber Ramalho.&lt;br /&gt;
Title: Economic Indicators for Decision-Making in Operating Massive Multiplayer Online Games.&lt;br /&gt;
Analytics and Player Psychology Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71684288/economic-indicators-for"&gt;&lt;img src="http://video.itu.dk/64968561/71684288/050237fcd28875d23a856846123e245f/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
            <guid>http://video.itu.dk/photo/71684288</guid>
            <pubDate>Wed, 03 Nov 2021 15:23:58 GMT</pubDate>
            <media:title>Economic Indicators for Decision-Making in Operating Massive Multiplayer...</media:title>
            <itunes:summary>Author: Átila Moreira, Francisco Ramos, Flávia Barros and Geber Ramalho.
Title: Economic Indicators for Decision-Making in Operating Massive Multiplayer Online Games.
Analytics and Player Psychology Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: Átila Moreira, Francisco Ramos, Flávia Barros and Geber Ramalho.
Title: Economic Indicators for Decision-Making in Operating Massive Multiplayer Online Games.
Analytics and Player Psychology Track - Long Paper (20 min) - IEEE Conference on...</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>09:19</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: Átila Moreira, Francisco Ramos, Flávia Barros and Geber Ramalho.&lt;br /&gt;
Title: Economic Indicators for Decision-Making in Operating Massive Multiplayer Online Games.&lt;br /&gt;
Analytics and Player Psychology Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71684288/economic-indicators-for"&gt;&lt;img src="http://video.itu.dk/64968561/71684288/050237fcd28875d23a856846123e245f/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
            <media:content url="https://video.itu.dk/v.ihtml/player.html?token=050237fcd28875d23a856846123e245f&amp;source=podcast&amp;photo%5fid=71684288" width="625" height="351" type="text/html" medium="video" duration="559" isDefault="true" expression="full"/>
            <media:thumbnail url="http://video.itu.dk/64968561/71684288/050237fcd28875d23a856846123e245f/standard/download-8-thumbnail.jpg" width="75" height=""/>
            <itunes:image href="http://video.itu.dk/64968561/71684288/050237fcd28875d23a856846123e245f/standard/download-8-thumbnail.jpg/thumbnail.jpg"/>
            <category>2021</category>
            <category>barros</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>decision</category>
            <category>economic</category>
            <category>indicators</category>
            <category>making</category>
            <category>moreira</category>
            <category>ramalho</category>
            <category>ramos</category>
        </item>
        <item>
            <enclosure url="http://video.itu.dk/64968579/71684314/290b47b4a5fcc839dcf137a9112e32df/video_hd/emotion-recognition-from-3d-motion-video.mp4?source=podcast" type="video/mp4" length="14241756"/>
            <title>Emotion Recognition from 3D Motion Capture Data using Deep CNNs</title>
            <link>http://video.itu.dk/photo/71684314/emotion-recognition-from-3d-motion</link>
            <description>&lt;p&gt;Haris Zacharatos, Christos Gatzoulis, Panayiotis Charalambous and Yiorgos Chrysanthou.&lt;br /&gt;
Emotion Recognition from 3D Motion Capture Data using Deep CNNs.&lt;br /&gt;
Analytics and Player Psychology Track - Short Paper (10 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71684314/emotion-recognition-from-3d-motion"&gt;&lt;img src="http://video.itu.dk/64968579/71684314/290b47b4a5fcc839dcf137a9112e32df/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
            <guid>http://video.itu.dk/photo/71684314</guid>
            <pubDate>Wed, 03 Nov 2021 15:23:58 GMT</pubDate>
            <media:title>Emotion Recognition from 3D Motion Capture Data using Deep CNNs</media:title>
            <itunes:summary>Haris Zacharatos, Christos Gatzoulis, Panayiotis Charalambous and Yiorgos Chrysanthou.
Emotion Recognition from 3D Motion Capture Data using Deep CNNs.
Analytics and Player Psychology Track - Short Paper (10 min) - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Haris Zacharatos, Christos Gatzoulis, Panayiotis Charalambous and Yiorgos Chrysanthou.
Emotion Recognition from 3D Motion Capture Data using Deep CNNs.
Analytics and Player Psychology Track - Short Paper (10 min) - IEEE Conference on Games 2021</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>09:43</itunes:duration>
            <media:description type="html">&lt;p&gt;Haris Zacharatos, Christos Gatzoulis, Panayiotis Charalambous and Yiorgos Chrysanthou.&lt;br /&gt;
Emotion Recognition from 3D Motion Capture Data using Deep CNNs.&lt;br /&gt;
Analytics and Player Psychology Track - Short Paper (10 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71684314/emotion-recognition-from-3d-motion"&gt;&lt;img src="http://video.itu.dk/64968579/71684314/290b47b4a5fcc839dcf137a9112e32df/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
            <media:content url="https://video.itu.dk/v.ihtml/player.html?token=290b47b4a5fcc839dcf137a9112e32df&amp;source=podcast&amp;photo%5fid=71684314" width="625" height="351" type="text/html" medium="video" duration="583" isDefault="true" expression="full"/>
            <media:thumbnail url="http://video.itu.dk/64968579/71684314/290b47b4a5fcc839dcf137a9112e32df/standard/download-8-thumbnail.jpg" width="75" height=""/>
            <itunes:image href="http://video.itu.dk/64968579/71684314/290b47b4a5fcc839dcf137a9112e32df/standard/download-8-thumbnail.jpg/thumbnail.jpg"/>
            <category>2021</category>
            <category>capture</category>
            <category>charalambous</category>
            <category>chrysanthou</category>
            <category>cnn</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>emotion</category>
            <category>gatzoulis</category>
            <category>motion</category>
            <category>recognition</category>
            <category>zacharatos</category>
        </item>
        <item>
            <enclosure url="http://video.itu.dk/64968566/71684327/0f249bfad9dcf6ea121117029fc07cd1/video_hd/game-dynamics-preferences-are-video.mp4?source=podcast" type="video/mp4" length="38701664"/>
            <title>Game Dynamics Preferences Are Connected with Experiences Derived from...</title>
            <link>http://video.itu.dk/photo/71684327/game-dynamics-preferences-are</link>
            <description>&lt;p&gt;Author: Suvi K. Holm and Johanna K. Kaakinen.&lt;br /&gt;
Title: Game Dynamics Preferences Are Connected with Experiences Derived from First-Person Shooters.&lt;br /&gt;
Analytics and Player Psychology Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71684327/game-dynamics-preferences-are"&gt;&lt;img src="http://video.itu.dk/64968566/71684327/0f249bfad9dcf6ea121117029fc07cd1/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
            <guid>http://video.itu.dk/photo/71684327</guid>
            <pubDate>Wed, 03 Nov 2021 15:23:57 GMT</pubDate>
            <media:title>Game Dynamics Preferences Are Connected with Experiences Derived from...</media:title>
            <itunes:summary>Author: Suvi K. Holm and Johanna K. Kaakinen.
Title: Game Dynamics Preferences Are Connected with Experiences Derived from First-Person Shooters.
Analytics and Player Psychology Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: Suvi K. Holm and Johanna K. Kaakinen.
Title: Game Dynamics Preferences Are Connected with Experiences Derived from First-Person Shooters.
Analytics and Player Psychology Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>17:53</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: Suvi K. Holm and Johanna K. Kaakinen.&lt;br /&gt;
Title: Game Dynamics Preferences Are Connected with Experiences Derived from First-Person Shooters.&lt;br /&gt;
Analytics and Player Psychology Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71684327/game-dynamics-preferences-are"&gt;&lt;img src="http://video.itu.dk/64968566/71684327/0f249bfad9dcf6ea121117029fc07cd1/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
            <media:content url="https://video.itu.dk/v.ihtml/player.html?token=0f249bfad9dcf6ea121117029fc07cd1&amp;source=podcast&amp;photo%5fid=71684327" width="625" height="351" type="text/html" medium="video" duration="1073" isDefault="true" expression="full"/>
            <media:thumbnail url="http://video.itu.dk/64968566/71684327/0f249bfad9dcf6ea121117029fc07cd1/standard/download-8-thumbnail.jpg" width="75" height=""/>
            <itunes:image href="http://video.itu.dk/64968566/71684327/0f249bfad9dcf6ea121117029fc07cd1/standard/download-8-thumbnail.jpg/thumbnail.jpg"/>
            <category>2021</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>dynamics</category>
            <category>fps</category>
            <category>holm</category>
            <category>kaakinen</category>
            <category>preference</category>
        </item>
        <item>
            <enclosure url="http://video.itu.dk/64968578/71684348/553e35a9da8003a751d88f0e94652c8c/video_hd/comparing-the-structures-and-video.mp4?source=podcast" type="video/mp4" length="24702084"/>
            <title>Comparing the Structures and Characteristics of Different Game Social...</title>
            <link>http://video.itu.dk/photo/71684348/comparing-the-structures-and</link>
            <description>&lt;p&gt;Author: Enrica Loria, Alessia Antelmi and Johanna Pirker.&lt;br /&gt;
Title: Comparing the Structures and Characteristics of Different Game Social Networks - The Steam Case.&lt;br /&gt;
Analytics and Player Psychology Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71684348/comparing-the-structures-and"&gt;&lt;img src="http://video.itu.dk/64968578/71684348/553e35a9da8003a751d88f0e94652c8c/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
            <guid>http://video.itu.dk/photo/71684348</guid>
            <pubDate>Wed, 03 Nov 2021 15:23:57 GMT</pubDate>
            <media:title>Comparing the Structures and Characteristics of Different Game Social...</media:title>
            <itunes:summary>Author: Enrica Loria, Alessia Antelmi and Johanna Pirker.
Title: Comparing the Structures and Characteristics of Different Game Social Networks - The Steam Case.
Analytics and Player Psychology Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: Enrica Loria, Alessia Antelmi and Johanna Pirker.
Title: Comparing the Structures and Characteristics of Different Game Social Networks - The Steam Case.
Analytics and Player Psychology Track - Long Paper (20 min) - IEEE Conference on...</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>17:24</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: Enrica Loria, Alessia Antelmi and Johanna Pirker.&lt;br /&gt;
Title: Comparing the Structures and Characteristics of Different Game Social Networks - The Steam Case.&lt;br /&gt;
Analytics and Player Psychology Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71684348/comparing-the-structures-and"&gt;&lt;img src="http://video.itu.dk/64968578/71684348/553e35a9da8003a751d88f0e94652c8c/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
            <media:content url="https://video.itu.dk/v.ihtml/player.html?token=553e35a9da8003a751d88f0e94652c8c&amp;source=podcast&amp;photo%5fid=71684348" width="625" height="351" type="text/html" medium="video" duration="1044" isDefault="true" expression="full"/>
            <media:thumbnail url="http://video.itu.dk/64968578/71684348/553e35a9da8003a751d88f0e94652c8c/standard/download-8-thumbnail.jpg" width="75" height=""/>
            <itunes:image href="http://video.itu.dk/64968578/71684348/553e35a9da8003a751d88f0e94652c8c/standard/download-8-thumbnail.jpg/thumbnail.jpg"/>
            <category>2021</category>
            <category>antelmi</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>comparing</category>
            <category>loria</category>
            <category>networks</category>
            <category>pirker</category>
            <category>social</category>
            <category>steam</category>
            <category>structures</category>
        </item>
        <item>
            <enclosure url="http://video.itu.dk/64968560/71684361/1d30ea4f694ac559fbd97e3c6cf5d573/video_hd/automatically-detecting-player-video.mp4?source=podcast" type="video/mp4" length="11972253"/>
            <title>Automatically detecting player roles in Among Us.</title>
            <link>http://video.itu.dk/photo/71684361/automatically-detecting-player</link>
            <description>&lt;p&gt;Author: Harro Tuin and Martin Rooijackers.&lt;br /&gt;
Title: Automatically detecting player roles in Among Us.&lt;br /&gt;
Analytics and Player Psychology Track - Short Paper (10 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71684361/automatically-detecting-player"&gt;&lt;img src="http://video.itu.dk/64968560/71684361/1d30ea4f694ac559fbd97e3c6cf5d573/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
            <guid>http://video.itu.dk/photo/71684361</guid>
            <pubDate>Wed, 03 Nov 2021 15:23:57 GMT</pubDate>
            <media:title>Automatically detecting player roles in Among Us.</media:title>
            <itunes:summary>Author: Harro Tuin and Martin Rooijackers.
Title: Automatically detecting player roles in Among Us.
Analytics and Player Psychology Track - Short Paper (10 min) - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: Harro Tuin and Martin Rooijackers.
Title: Automatically detecting player roles in Among Us.
Analytics and Player Psychology Track - Short Paper (10 min) - IEEE Conference on Games 2021</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>09:18</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: Harro Tuin and Martin Rooijackers.&lt;br /&gt;
Title: Automatically detecting player roles in Among Us.&lt;br /&gt;
Analytics and Player Psychology Track - Short Paper (10 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71684361/automatically-detecting-player"&gt;&lt;img src="http://video.itu.dk/64968560/71684361/1d30ea4f694ac559fbd97e3c6cf5d573/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
            <media:content url="https://video.itu.dk/v.ihtml/player.html?token=1d30ea4f694ac559fbd97e3c6cf5d573&amp;source=podcast&amp;photo%5fid=71684361" width="625" height="351" type="text/html" medium="video" duration="558" isDefault="true" expression="full"/>
            <media:thumbnail url="http://video.itu.dk/64968560/71684361/1d30ea4f694ac559fbd97e3c6cf5d573/standard/download-8-thumbnail.jpg" width="75" height=""/>
            <itunes:image href="http://video.itu.dk/64968560/71684361/1d30ea4f694ac559fbd97e3c6cf5d573/standard/download-8-thumbnail.jpg/thumbnail.jpg"/>
            <category>2021</category>
            <category>among</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>player</category>
            <category>roles</category>
            <category>rooijackers</category>
            <category>tuin</category>
            <category>us</category>
        </item>
        <item>
            <enclosure url="http://video.itu.dk/64968577/71684387/d71fb39be1d4e231361fbab072dc9d34/video_hd/mad-mixologist-exploring-how-object-video.mp4?source=podcast" type="video/mp4" length="34520745"/>
            <title>Mad Mixologist: Exploring How Object Placement in Tangible Play Spaces...</title>
            <link>http://video.itu.dk/photo/71684387/mad-mixologist-exploring-how-object</link>
            <description>&lt;p&gt;Author: Katelyn Grasse, Marjorie Cuerdo and Edward Melcer.&lt;br /&gt;
Title: Mad Mixologist: Exploring How Object Placement in Tangible Play Spaces Affects Collaborative Interaction Strategies.&lt;br /&gt;
Analytics and Player Psychology Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71684387/mad-mixologist-exploring-how-object"&gt;&lt;img src="http://video.itu.dk/64968577/71684387/d71fb39be1d4e231361fbab072dc9d34/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
            <guid>http://video.itu.dk/photo/71684387</guid>
            <pubDate>Wed, 03 Nov 2021 15:23:57 GMT</pubDate>
            <media:title>Mad Mixologist: Exploring How Object Placement in Tangible Play Spaces...</media:title>
            <itunes:summary>Author: Katelyn Grasse, Marjorie Cuerdo and Edward Melcer.
Title: Mad Mixologist: Exploring How Object Placement in Tangible Play Spaces Affects Collaborative Interaction Strategies.
Analytics and Player Psychology Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: Katelyn Grasse, Marjorie Cuerdo and Edward Melcer.
Title: Mad Mixologist: Exploring How Object Placement in Tangible Play Spaces Affects Collaborative Interaction Strategies.
Analytics and Player Psychology Track - Long Paper (20 min) -...</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>17:12</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: Katelyn Grasse, Marjorie Cuerdo and Edward Melcer.&lt;br /&gt;
Title: Mad Mixologist: Exploring How Object Placement in Tangible Play Spaces Affects Collaborative Interaction Strategies.&lt;br /&gt;
Analytics and Player Psychology Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71684387/mad-mixologist-exploring-how-object"&gt;&lt;img src="http://video.itu.dk/64968577/71684387/d71fb39be1d4e231361fbab072dc9d34/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
            <media:content url="https://video.itu.dk/v.ihtml/player.html?token=d71fb39be1d4e231361fbab072dc9d34&amp;source=podcast&amp;photo%5fid=71684387" width="625" height="351" type="text/html" medium="video" duration="1032" isDefault="true" expression="full"/>
            <media:thumbnail url="http://video.itu.dk/64968577/71684387/d71fb39be1d4e231361fbab072dc9d34/standard/download-8-thumbnail.jpg" width="75" height=""/>
            <itunes:image href="http://video.itu.dk/64968577/71684387/d71fb39be1d4e231361fbab072dc9d34/standard/download-8-thumbnail.jpg/thumbnail.jpg"/>
            <category>2021</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>cuerdo</category>
            <category>grasse</category>
            <category>interaction</category>
            <category>melcer</category>
            <category>object</category>
            <category>placement</category>
            <category>spaces</category>
            <category>strategies</category>
        </item>
        <item>
            <enclosure url="http://video.itu.dk/64968568/71684396/ed764cc70819a28f4efb594ac709cfd2/video_hd/towards-general-models-of-player-video.mp4?source=podcast" type="video/mp4" length="30560888"/>
            <title>Towards General Models of Player Experience: A Study Within Genres</title>
            <link>http://video.itu.dk/photo/71684396/towards-general-models-of-player</link>
            <description>&lt;p&gt;Author: David Melhart, Antonios Liapis and Georgios N. Yannakakis.&lt;br /&gt;
Title: Towards General Models of Player Experience: A Study Within Genres.&lt;br /&gt;
Analytics and Player Psychology Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71684396/towards-general-models-of-player"&gt;&lt;img src="http://video.itu.dk/64968568/71684396/ed764cc70819a28f4efb594ac709cfd2/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
            <guid>http://video.itu.dk/photo/71684396</guid>
            <pubDate>Wed, 03 Nov 2021 15:23:57 GMT</pubDate>
            <media:title>Towards General Models of Player Experience: A Study Within Genres</media:title>
            <itunes:summary>Author: David Melhart, Antonios Liapis and Georgios N. Yannakakis.
Title: Towards General Models of Player Experience: A Study Within Genres.
Analytics and Player Psychology Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: David Melhart, Antonios Liapis and Georgios N. Yannakakis.
Title: Towards General Models of Player Experience: A Study Within Genres.
Analytics and Player Psychology Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>15:37</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: David Melhart, Antonios Liapis and Georgios N. Yannakakis.&lt;br /&gt;
Title: Towards General Models of Player Experience: A Study Within Genres.&lt;br /&gt;
Analytics and Player Psychology Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71684396/towards-general-models-of-player"&gt;&lt;img src="http://video.itu.dk/64968568/71684396/ed764cc70819a28f4efb594ac709cfd2/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
            <media:content url="https://video.itu.dk/v.ihtml/player.html?token=ed764cc70819a28f4efb594ac709cfd2&amp;source=podcast&amp;photo%5fid=71684396" width="625" height="351" type="text/html" medium="video" duration="937" isDefault="true" expression="full"/>
            <media:thumbnail url="http://video.itu.dk/64968568/71684396/ed764cc70819a28f4efb594ac709cfd2/standard/download-8-thumbnail.jpg" width="75" height=""/>
            <itunes:image href="http://video.itu.dk/64968568/71684396/ed764cc70819a28f4efb594ac709cfd2/standard/download-8-thumbnail.jpg/thumbnail.jpg"/>
            <category>2021</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>experience</category>
            <category>general</category>
            <category>liapis</category>
            <category>melhart</category>
            <category>model</category>
            <category>player</category>
            <category>yannakakis</category>
        </item>
        <item>
            <enclosure url="http://video.itu.dk/64968561/71684407/fe8d23b91d60ca4b3677a6bbf5a8edc3/video_hd/the-relationship-between-video.mp4?source=podcast" type="video/mp4" length="14036538"/>
            <title>The Relationship between Personality, Game Motive, and Game Genre Preference:...</title>
            <link>http://video.itu.dk/photo/71684407/the-relationship-between</link>
            <description>&lt;p&gt;Author: Lucy Wang.&lt;br /&gt;
Title: The Relationship between Personality, Game Motive, and Game Genre Preference: Gender as a Moderator.&lt;br /&gt;
Analytics and Player Psychology Track - Short Paper (10 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71684407/the-relationship-between"&gt;&lt;img src="http://video.itu.dk/64968561/71684407/fe8d23b91d60ca4b3677a6bbf5a8edc3/standard/download-7-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
            <guid>http://video.itu.dk/photo/71684407</guid>
            <pubDate>Wed, 03 Nov 2021 15:23:57 GMT</pubDate>
            <media:title>The Relationship between Personality, Game Motive, and Game Genre Preference:...</media:title>
            <itunes:summary>Author: Lucy Wang.
Title: The Relationship between Personality, Game Motive, and Game Genre Preference: Gender as a Moderator.
Analytics and Player Psychology Track - Short Paper (10 min) - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: Lucy Wang.
Title: The Relationship between Personality, Game Motive, and Game Genre Preference: Gender as a Moderator.
Analytics and Player Psychology Track - Short Paper (10 min) - IEEE Conference on Games 2021</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>08:58</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: Lucy Wang.&lt;br /&gt;
Title: The Relationship between Personality, Game Motive, and Game Genre Preference: Gender as a Moderator.&lt;br /&gt;
Analytics and Player Psychology Track - Short Paper (10 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71684407/the-relationship-between"&gt;&lt;img src="http://video.itu.dk/64968561/71684407/fe8d23b91d60ca4b3677a6bbf5a8edc3/standard/download-7-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
            <media:content url="https://video.itu.dk/v.ihtml/player.html?token=fe8d23b91d60ca4b3677a6bbf5a8edc3&amp;source=podcast&amp;photo%5fid=71684407" width="625" height="351" type="text/html" medium="video" duration="538" isDefault="true" expression="full"/>
            <media:thumbnail url="http://video.itu.dk/64968561/71684407/fe8d23b91d60ca4b3677a6bbf5a8edc3/standard/download-7-thumbnail.jpg" width="75" height=""/>
            <itunes:image href="http://video.itu.dk/64968561/71684407/fe8d23b91d60ca4b3677a6bbf5a8edc3/standard/download-7-thumbnail.jpg/thumbnail.jpg"/>
            <category>2021</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>gender</category>
            <category>moderator</category>
            <category>wang</category>
        </item>
        <item>
            <enclosure url="http://video.itu.dk/64968567/71684419/e24d4aa0385788a632d082efc257a432/video_hd/psychometric-mapping-of-audio-video.mp4?source=podcast" type="video/mp4" length="13684759"/>
            <title>Psychometric Mapping of Audio Features to Perceived Physical Characteristics...</title>
            <link>http://video.itu.dk/photo/71684419/psychometric-mapping-of-audio</link>
            <description>&lt;p&gt;Author: Mattia Colombo, Alan Dolhasz, Jason Hockman and Carlo Harvey.&lt;br /&gt;
Title: Psychometric Mapping of Audio Features to Perceived Physical Characteristics of Virtual Objects.&lt;br /&gt;
Analytics and Player Psychology Track - Short Paper (10 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71684419/psychometric-mapping-of-audio"&gt;&lt;img src="http://video.itu.dk/64968567/71684419/e24d4aa0385788a632d082efc257a432/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
            <guid>http://video.itu.dk/photo/71684419</guid>
            <pubDate>Wed, 03 Nov 2021 15:23:57 GMT</pubDate>
            <media:title>Psychometric Mapping of Audio Features to Perceived Physical Characteristics...</media:title>
            <itunes:summary>Author: Mattia Colombo, Alan Dolhasz, Jason Hockman and Carlo Harvey.
Title: Psychometric Mapping of Audio Features to Perceived Physical Characteristics of Virtual Objects.
Analytics and Player Psychology Track - Short Paper (10 min) - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: Mattia Colombo, Alan Dolhasz, Jason Hockman and Carlo Harvey.
Title: Psychometric Mapping of Audio Features to Perceived Physical Characteristics of Virtual Objects.
Analytics and Player Psychology Track - Short Paper (10 min) - IEEE...</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>09:31</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: Mattia Colombo, Alan Dolhasz, Jason Hockman and Carlo Harvey.&lt;br /&gt;
Title: Psychometric Mapping of Audio Features to Perceived Physical Characteristics of Virtual Objects.&lt;br /&gt;
Analytics and Player Psychology Track - Short Paper (10 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71684419/psychometric-mapping-of-audio"&gt;&lt;img src="http://video.itu.dk/64968567/71684419/e24d4aa0385788a632d082efc257a432/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
            <media:content url="https://video.itu.dk/v.ihtml/player.html?token=e24d4aa0385788a632d082efc257a432&amp;source=podcast&amp;photo%5fid=71684419" width="625" height="351" type="text/html" medium="video" duration="571" isDefault="true" expression="full"/>
            <media:thumbnail url="http://video.itu.dk/64968567/71684419/e24d4aa0385788a632d082efc257a432/standard/download-8-thumbnail.jpg" width="75" height=""/>
            <itunes:image href="http://video.itu.dk/64968567/71684419/e24d4aa0385788a632d082efc257a432/standard/download-8-thumbnail.jpg/thumbnail.jpg"/>
            <category>2021</category>
            <category>audio</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>colombo</category>
            <category>dolhasz</category>
            <category>harvey</category>
            <category>hockman</category>
            <category>psychometric</category>
        </item>
        <item>
            <enclosure url="http://video.itu.dk/64968579/71684496/67b6b10b5ff48f0ed0f66419f0fe6fc3/video_hd/variance-decompositions-for-video.mp4?source=podcast" type="video/mp4" length="27071952"/>
            <title>Variance Decompositions for Extensive-Form Games</title>
            <link>http://video.itu.dk/photo/71684496/variance-decompositions-for</link>
            <description>&lt;p&gt;Author: Alex Cloud and Eric Laber.&lt;br /&gt;
Title: Variance Decompositions for Extensive-Form Games.&lt;br /&gt;
Analytics and Player Psychology Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71684496/variance-decompositions-for"&gt;&lt;img src="http://video.itu.dk/64968579/71684496/67b6b10b5ff48f0ed0f66419f0fe6fc3/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
            <guid>http://video.itu.dk/photo/71684496</guid>
            <pubDate>Wed, 03 Nov 2021 15:23:57 GMT</pubDate>
            <media:title>Variance Decompositions for Extensive-Form Games</media:title>
            <itunes:summary>Author: Alex Cloud and Eric Laber.
Title: Variance Decompositions for Extensive-Form Games.
Analytics and Player Psychology Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: Alex Cloud and Eric Laber.
Title: Variance Decompositions for Extensive-Form Games.
Analytics and Player Psychology Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>19:25</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: Alex Cloud and Eric Laber.&lt;br /&gt;
Title: Variance Decompositions for Extensive-Form Games.&lt;br /&gt;
Analytics and Player Psychology Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71684496/variance-decompositions-for"&gt;&lt;img src="http://video.itu.dk/64968579/71684496/67b6b10b5ff48f0ed0f66419f0fe6fc3/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
            <media:content url="https://video.itu.dk/v.ihtml/player.html?token=67b6b10b5ff48f0ed0f66419f0fe6fc3&amp;source=podcast&amp;photo%5fid=71684496" width="625" height="351" type="text/html" medium="video" duration="1165" isDefault="true" expression="full"/>
            <media:thumbnail url="http://video.itu.dk/64968579/71684496/67b6b10b5ff48f0ed0f66419f0fe6fc3/standard/download-8-thumbnail.jpg" width="75" height=""/>
            <itunes:image href="http://video.itu.dk/64968579/71684496/67b6b10b5ff48f0ed0f66419f0fe6fc3/standard/download-8-thumbnail.jpg/thumbnail.jpg"/>
            <category>2021</category>
            <category>cloud</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>decomposition</category>
            <category>extensive</category>
            <category>laber</category>
        </item>
        <item>
            <enclosure url="http://video.itu.dk/64968556/71684530/a5c8b452691b9c5228abe48ba848ec18/video_hd/what-are-you-looking-at-team-fight-video.mp4?source=podcast" type="video/mp4" length="31497603"/>
            <title>What Are You Looking At? Team Fight Prediction Through Player Camera</title>
            <link>http://video.itu.dk/photo/71684530/what-are-you-looking-at-team-fight</link>
            <description>&lt;p&gt;Author: Marko Tot et al.&lt;br /&gt;
Title: What Are You Looking At? Team Fight Prediction Through Player Camera.&lt;br /&gt;
Analytics and Player Psychology Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71684530/what-are-you-looking-at-team-fight"&gt;&lt;img src="http://video.itu.dk/64968556/71684530/a5c8b452691b9c5228abe48ba848ec18/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
            <guid>http://video.itu.dk/photo/71684530</guid>
            <pubDate>Wed, 03 Nov 2021 15:23:57 GMT</pubDate>
            <media:title>What Are You Looking At? Team Fight Prediction Through Player Camera</media:title>
            <itunes:summary>Author: Marko Tot et al.
Title: What Are You Looking At? Team Fight Prediction Through Player Camera.
Analytics and Player Psychology Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: Marko Tot et al.
Title: What Are You Looking At? Team Fight Prediction Through Player Camera.
Analytics and Player Psychology Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>17:10</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: Marko Tot et al.&lt;br /&gt;
Title: What Are You Looking At? Team Fight Prediction Through Player Camera.&lt;br /&gt;
Analytics and Player Psychology Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71684530/what-are-you-looking-at-team-fight"&gt;&lt;img src="http://video.itu.dk/64968556/71684530/a5c8b452691b9c5228abe48ba848ec18/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
            <media:content url="https://video.itu.dk/v.ihtml/player.html?token=a5c8b452691b9c5228abe48ba848ec18&amp;source=podcast&amp;photo%5fid=71684530" width="625" height="351" type="text/html" medium="video" duration="1030" isDefault="true" expression="full"/>
            <media:thumbnail url="http://video.itu.dk/64968556/71684530/a5c8b452691b9c5228abe48ba848ec18/standard/download-8-thumbnail.jpg" width="75" height=""/>
            <itunes:image href="http://video.itu.dk/64968556/71684530/a5c8b452691b9c5228abe48ba848ec18/standard/download-8-thumbnail.jpg/thumbnail.jpg"/>
            <category>2021</category>
            <category>camera</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>fight</category>
            <category>team</category>
            <category>tot</category>
        </item>
        <item>
            <enclosure url="http://video.itu.dk/64968560/71684536/8c79205ae51041548a18a3cf194066c8/video_hd/feature-analysis-to-league-of-video.mp4?source=podcast" type="video/mp4" length="14834504"/>
            <title>Feature Analysis to League of Legends Victory Prediction on the Picks and...</title>
            <link>http://video.itu.dk/photo/71684536/feature-analysis-to-league-of</link>
            <description>&lt;p&gt;Author: Lincoln Costa, Rafael Mantovani, Francisco Souza and Geraldo Xexéo.&lt;br /&gt;
Title: Feature Analysis to League of Legends Victory Prediction on the Picks and Bans Phase.&lt;br /&gt;
Analytics and Player Psychology Track - Short Paper (10 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71684536/feature-analysis-to-league-of"&gt;&lt;img src="http://video.itu.dk/64968560/71684536/8c79205ae51041548a18a3cf194066c8/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
            <guid>http://video.itu.dk/photo/71684536</guid>
            <pubDate>Wed, 03 Nov 2021 15:23:57 GMT</pubDate>
            <media:title>Feature Analysis to League of Legends Victory Prediction on the Picks and...</media:title>
            <itunes:summary>Author: Lincoln Costa, Rafael Mantovani, Francisco Souza and Geraldo Xexéo.
Title: Feature Analysis to League of Legends Victory Prediction on the Picks and Bans Phase.
Analytics and Player Psychology Track - Short Paper (10 min) - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: Lincoln Costa, Rafael Mantovani, Francisco Souza and Geraldo Xexéo.
Title: Feature Analysis to League of Legends Victory Prediction on the Picks and Bans Phase.
Analytics and Player Psychology Track - Short Paper (10 min) - IEEE Conference...</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>09:27</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: Lincoln Costa, Rafael Mantovani, Francisco Souza and Geraldo Xexéo.&lt;br /&gt;
Title: Feature Analysis to League of Legends Victory Prediction on the Picks and Bans Phase.&lt;br /&gt;
Analytics and Player Psychology Track - Short Paper (10 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71684536/feature-analysis-to-league-of"&gt;&lt;img src="http://video.itu.dk/64968560/71684536/8c79205ae51041548a18a3cf194066c8/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
            <media:content url="https://video.itu.dk/v.ihtml/player.html?token=8c79205ae51041548a18a3cf194066c8&amp;source=podcast&amp;photo%5fid=71684536" width="625" height="351" type="text/html" medium="video" duration="567" isDefault="true" expression="full"/>
            <media:thumbnail url="http://video.itu.dk/64968560/71684536/8c79205ae51041548a18a3cf194066c8/standard/download-8-thumbnail.jpg" width="75" height=""/>
            <itunes:image href="http://video.itu.dk/64968560/71684536/8c79205ae51041548a18a3cf194066c8/standard/download-8-thumbnail.jpg/thumbnail.jpg"/>
            <category>2021</category>
            <category>analysis</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>costa</category>
            <category>feature</category>
            <category>league</category>
            <category>legends</category>
            <category>mantovani</category>
            <category>of</category>
            <category>souza</category>
            <category>xexéo</category>
        </item>
        <item>
            <enclosure url="http://video.itu.dk/64968578/71684584/4f42cf15958f8113f444899525b951b2/video_hd/predicting-player-churn-with-echo-video.mp4?source=podcast" type="video/mp4" length="15040091"/>
            <title>Predicting Player Churn with Echo State Networks</title>
            <link>http://video.itu.dk/photo/71684584/predicting-player-churn-with-echo</link>
            <description>&lt;p&gt;Author: Rafet Sifa.&lt;br /&gt;
Title: Predicting Player Churn with Echo State Networks.&lt;br /&gt;
Analytics and Player Psychology Track - Short Paper (10 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71684584/predicting-player-churn-with-echo"&gt;&lt;img src="http://video.itu.dk/64968578/71684584/4f42cf15958f8113f444899525b951b2/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
            <guid>http://video.itu.dk/photo/71684584</guid>
            <pubDate>Wed, 03 Nov 2021 15:23:57 GMT</pubDate>
            <media:title>Predicting Player Churn with Echo State Networks</media:title>
            <itunes:summary>Author: Rafet Sifa.
Title: Predicting Player Churn with Echo State Networks.
Analytics and Player Psychology Track - Short Paper (10 min) - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: Rafet Sifa.
Title: Predicting Player Churn with Echo State Networks.
Analytics and Player Psychology Track - Short Paper (10 min) - IEEE Conference on Games 2021</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>09:50</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: Rafet Sifa.&lt;br /&gt;
Title: Predicting Player Churn with Echo State Networks.&lt;br /&gt;
Analytics and Player Psychology Track - Short Paper (10 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71684584/predicting-player-churn-with-echo"&gt;&lt;img src="http://video.itu.dk/64968578/71684584/4f42cf15958f8113f444899525b951b2/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
            <media:content url="https://video.itu.dk/v.ihtml/player.html?token=4f42cf15958f8113f444899525b951b2&amp;source=podcast&amp;photo%5fid=71684584" width="625" height="351" type="text/html" medium="video" duration="590" isDefault="true" expression="full"/>
            <media:thumbnail url="http://video.itu.dk/64968578/71684584/4f42cf15958f8113f444899525b951b2/standard/download-8-thumbnail.jpg" width="75" height=""/>
            <itunes:image href="http://video.itu.dk/64968578/71684584/4f42cf15958f8113f444899525b951b2/standard/download-8-thumbnail.jpg/thumbnail.jpg"/>
            <category>2021</category>
            <category>churn</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>echo</category>
            <category>network</category>
            <category>sifa</category>
        </item>
        <item>
            <enclosure url="http://video.itu.dk/64968561/71684620/3af1bfc185375827649cc4c30ab1b62c/video_hd/stable-analyzing-player-movement-video.mp4?source=podcast" type="video/mp4" length="37223529"/>
            <title>StABLE: Analyzing Player Movement Similarity Using Text Mining</title>
            <link>http://video.itu.dk/photo/71684620/stable-analyzing-player-movement</link>
            <description>&lt;p&gt;Author: Luana Fragoso and Kevin Stanley.&lt;br /&gt;
Title: StABLE: Analyzing Player Movement Similarity Using Text Mining.&lt;br /&gt;
Analytics and Player Psychology Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71684620/stable-analyzing-player-movement"&gt;&lt;img src="http://video.itu.dk/64968561/71684620/3af1bfc185375827649cc4c30ab1b62c/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
            <guid>http://video.itu.dk/photo/71684620</guid>
            <pubDate>Wed, 03 Nov 2021 15:23:57 GMT</pubDate>
            <media:title>StABLE: Analyzing Player Movement Similarity Using Text Mining</media:title>
            <itunes:summary>Author: Luana Fragoso and Kevin Stanley.
Title: StABLE: Analyzing Player Movement Similarity Using Text Mining.
Analytics and Player Psychology Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: Luana Fragoso and Kevin Stanley.
Title: StABLE: Analyzing Player Movement Similarity Using Text Mining.
Analytics and Player Psychology Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>18:09</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: Luana Fragoso and Kevin Stanley.&lt;br /&gt;
Title: StABLE: Analyzing Player Movement Similarity Using Text Mining.&lt;br /&gt;
Analytics and Player Psychology Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71684620/stable-analyzing-player-movement"&gt;&lt;img src="http://video.itu.dk/64968561/71684620/3af1bfc185375827649cc4c30ab1b62c/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
            <media:content url="https://video.itu.dk/v.ihtml/player.html?token=3af1bfc185375827649cc4c30ab1b62c&amp;source=podcast&amp;photo%5fid=71684620" width="625" height="351" type="text/html" medium="video" duration="1089" isDefault="true" expression="full"/>
            <media:thumbnail url="http://video.itu.dk/64968561/71684620/3af1bfc185375827649cc4c30ab1b62c/standard/download-8-thumbnail.jpg" width="75" height=""/>
            <itunes:image href="http://video.itu.dk/64968561/71684620/3af1bfc185375827649cc4c30ab1b62c/standard/download-8-thumbnail.jpg/thumbnail.jpg"/>
            <category>2021</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>fragoso</category>
            <category>mining</category>
            <category>movement</category>
            <category>player</category>
            <category>stanley</category>
            <category>text</category>
        </item>
        <item>
            <enclosure url="http://video.itu.dk/64968569/71684622/05914837827cfdb1b1ae2323cf5fbd2d/video_hd/validating-the-plot-of-interactive-video.mp4?source=podcast" type="video/mp4" length="28977668"/>
            <title>Validating the plot of Interactive Narrative games</title>
            <link>http://video.itu.dk/photo/71684622/validating-the-plot-of-interactive</link>
            <description>&lt;p&gt;Author: Carolina Veloso and Rui Prada.&lt;br /&gt;
Title: Validating the plot of Interactive Narrative games.&lt;br /&gt;
Analytics and Player Psychology Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71684622/validating-the-plot-of-interactive"&gt;&lt;img src="http://video.itu.dk/64968569/71684622/05914837827cfdb1b1ae2323cf5fbd2d/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
            <guid>http://video.itu.dk/photo/71684622</guid>
            <pubDate>Wed, 03 Nov 2021 15:23:57 GMT</pubDate>
            <media:title>Validating the plot of Interactive Narrative games</media:title>
            <itunes:summary>Author: Carolina Veloso and Rui Prada.
Title: Validating the plot of Interactive Narrative games.
Analytics and Player Psychology Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: Carolina Veloso and Rui Prada.
Title: Validating the plot of Interactive Narrative games.
Analytics and Player Psychology Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>19:31</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: Carolina Veloso and Rui Prada.&lt;br /&gt;
Title: Validating the plot of Interactive Narrative games.&lt;br /&gt;
Analytics and Player Psychology Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71684622/validating-the-plot-of-interactive"&gt;&lt;img src="http://video.itu.dk/64968569/71684622/05914837827cfdb1b1ae2323cf5fbd2d/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
            <media:content url="https://video.itu.dk/v.ihtml/player.html?token=05914837827cfdb1b1ae2323cf5fbd2d&amp;source=podcast&amp;photo%5fid=71684622" width="625" height="351" type="text/html" medium="video" duration="1171" isDefault="true" expression="full"/>
            <media:thumbnail url="http://video.itu.dk/64968569/71684622/05914837827cfdb1b1ae2323cf5fbd2d/standard/download-8-thumbnail.jpg" width="75" height=""/>
            <itunes:image href="http://video.itu.dk/64968569/71684622/05914837827cfdb1b1ae2323cf5fbd2d/standard/download-8-thumbnail.jpg/thumbnail.jpg"/>
            <category>2021</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>narrative</category>
            <category>plot</category>
            <category>prada</category>
            <category>validating</category>
            <category>veloso</category>
        </item>
        <item>
            <enclosure url="http://video.itu.dk/64968577/71684644/59dc41395725aa0c3e95fc5d2245d166/video_hd/evaluating-team-skill-aggregation-video.mp4?source=podcast" type="video/mp4" length="29304260"/>
            <title>Evaluating Team Skill Aggregation in Online Competitive Games</title>
            <link>http://video.itu.dk/photo/71684644/evaluating-team-skill-aggregation</link>
            <description>&lt;p&gt;Author: Arman Dehpanah, Muheeb Faizan Ghori, Jonathan Gemmell and Bamshad Mobasher.&lt;br /&gt;
Title: Evaluating Team Skill Aggregation in Online Competitive Games.&lt;br /&gt;
Analytics and Player Psychology Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71684644/evaluating-team-skill-aggregation"&gt;&lt;img src="http://video.itu.dk/64968577/71684644/59dc41395725aa0c3e95fc5d2245d166/standard/download-7-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
            <guid>http://video.itu.dk/photo/71684644</guid>
            <pubDate>Wed, 03 Nov 2021 15:23:57 GMT</pubDate>
            <media:title>Evaluating Team Skill Aggregation in Online Competitive Games</media:title>
            <itunes:summary>Author: Arman Dehpanah, Muheeb Faizan Ghori, Jonathan Gemmell and Bamshad Mobasher.
Title: Evaluating Team Skill Aggregation in Online Competitive Games.
Analytics and Player Psychology Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: Arman Dehpanah, Muheeb Faizan Ghori, Jonathan Gemmell and Bamshad Mobasher.
Title: Evaluating Team Skill Aggregation in Online Competitive Games.
Analytics and Player Psychology Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>17:57</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: Arman Dehpanah, Muheeb Faizan Ghori, Jonathan Gemmell and Bamshad Mobasher.&lt;br /&gt;
Title: Evaluating Team Skill Aggregation in Online Competitive Games.&lt;br /&gt;
Analytics and Player Psychology Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71684644/evaluating-team-skill-aggregation"&gt;&lt;img src="http://video.itu.dk/64968577/71684644/59dc41395725aa0c3e95fc5d2245d166/standard/download-7-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
            <media:content url="https://video.itu.dk/v.ihtml/player.html?token=59dc41395725aa0c3e95fc5d2245d166&amp;source=podcast&amp;photo%5fid=71684644" width="625" height="351" type="text/html" medium="video" duration="1077" isDefault="true" expression="full"/>
            <media:thumbnail url="http://video.itu.dk/64968577/71684644/59dc41395725aa0c3e95fc5d2245d166/standard/download-7-thumbnail.jpg" width="75" height=""/>
            <itunes:image href="http://video.itu.dk/64968577/71684644/59dc41395725aa0c3e95fc5d2245d166/standard/download-7-thumbnail.jpg/thumbnail.jpg"/>
            <category>2021</category>
            <category>aggregation</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>competitive</category>
            <category>dehpanah</category>
            <category>gemmell</category>
            <category>ghori</category>
            <category>mobasher</category>
            <category>skill</category>
        </item>
        <item>
            <enclosure url="http://video.itu.dk/64968580/71684671/1ad9b1a4afe39cc1488240421fc54f90/video_hd/multiplayer-modeling-via-video.mp4?source=podcast" type="video/mp4" length="30662330"/>
            <title>Multiplayer Modeling via Multi-Armed Bandits</title>
            <link>http://video.itu.dk/photo/71684671/multiplayer-modeling-via</link>
            <description>&lt;p&gt;Author: Robert Gray, Jichen Zhu and Santiago Ontañón.&lt;br /&gt;
Title: Multiplayer Modeling via Multi-Armed Bandits.&lt;br /&gt;
Analytics and Player Psychology Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71684671/multiplayer-modeling-via"&gt;&lt;img src="http://video.itu.dk/64968580/71684671/1ad9b1a4afe39cc1488240421fc54f90/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
            <guid>http://video.itu.dk/photo/71684671</guid>
            <pubDate>Wed, 03 Nov 2021 15:23:57 GMT</pubDate>
            <media:title>Multiplayer Modeling via Multi-Armed Bandits</media:title>
            <itunes:summary>Author: Robert Gray, Jichen Zhu and Santiago Ontañón.
Title: Multiplayer Modeling via Multi-Armed Bandits.
Analytics and Player Psychology Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: Robert Gray, Jichen Zhu and Santiago Ontañón.
Title: Multiplayer Modeling via Multi-Armed Bandits.
Analytics and Player Psychology Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>19:18</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: Robert Gray, Jichen Zhu and Santiago Ontañón.&lt;br /&gt;
Title: Multiplayer Modeling via Multi-Armed Bandits.&lt;br /&gt;
Analytics and Player Psychology Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71684671/multiplayer-modeling-via"&gt;&lt;img src="http://video.itu.dk/64968580/71684671/1ad9b1a4afe39cc1488240421fc54f90/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
            <media:content url="https://video.itu.dk/v.ihtml/player.html?token=1ad9b1a4afe39cc1488240421fc54f90&amp;source=podcast&amp;photo%5fid=71684671" width="625" height="351" type="text/html" medium="video" duration="1158" isDefault="true" expression="full"/>
            <media:thumbnail url="http://video.itu.dk/64968580/71684671/1ad9b1a4afe39cc1488240421fc54f90/standard/download-8-thumbnail.jpg" width="75" height=""/>
            <itunes:image href="http://video.itu.dk/64968580/71684671/1ad9b1a4afe39cc1488240421fc54f90/standard/download-8-thumbnail.jpg/thumbnail.jpg"/>
            <category>2021</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>gray</category>
            <category>modelling</category>
            <category>multiplayer</category>
            <category>ontañón</category>
            <category>zhu</category>
        </item>
        <item>
            <enclosure url="http://video.itu.dk/64968575/71684694/6faa60c4f6fba14ac5ee0b740edadd3e/video_hd/an-online-system-for-video.mp4?source=podcast" type="video/mp4" length="13266062"/>
            <title>An Online System for Player-vs-Level Matchmaking in Human Computation Games</title>
            <link>http://video.itu.dk/photo/71684694/an-online-system-for</link>
            <description>&lt;p&gt;Author: Anurag Sarkar and Seth Cooper.&lt;br /&gt;
Title: An Online System for Player-vs-Level Matchmaking in Human Computation Games.&lt;br /&gt;
Analytics and Player Psychology Track - Short Paper (10 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71684694/an-online-system-for"&gt;&lt;img src="http://video.itu.dk/64968575/71684694/6faa60c4f6fba14ac5ee0b740edadd3e/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
            <guid>http://video.itu.dk/photo/71684694</guid>
            <pubDate>Wed, 03 Nov 2021 15:23:57 GMT</pubDate>
            <media:title>An Online System for Player-vs-Level Matchmaking in Human Computation Games</media:title>
            <itunes:summary>Author: Anurag Sarkar and Seth Cooper.
Title: An Online System for Player-vs-Level Matchmaking in Human Computation Games.
Analytics and Player Psychology Track - Short Paper (10 min) - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: Anurag Sarkar and Seth Cooper.
Title: An Online System for Player-vs-Level Matchmaking in Human Computation Games.
Analytics and Player Psychology Track - Short Paper (10 min) - IEEE Conference on Games 2021</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>09:43</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: Anurag Sarkar and Seth Cooper.&lt;br /&gt;
Title: An Online System for Player-vs-Level Matchmaking in Human Computation Games.&lt;br /&gt;
Analytics and Player Psychology Track - Short Paper (10 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71684694/an-online-system-for"&gt;&lt;img src="http://video.itu.dk/64968575/71684694/6faa60c4f6fba14ac5ee0b740edadd3e/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
            <media:content url="https://video.itu.dk/v.ihtml/player.html?token=6faa60c4f6fba14ac5ee0b740edadd3e&amp;source=podcast&amp;photo%5fid=71684694" width="625" height="351" type="text/html" medium="video" duration="583" isDefault="true" expression="full"/>
            <media:thumbnail url="http://video.itu.dk/64968575/71684694/6faa60c4f6fba14ac5ee0b740edadd3e/standard/download-8-thumbnail.jpg" width="75" height=""/>
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            <category>2021</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>cooper</category>
            <category>level</category>
            <category>matchmaking</category>
            <category>player</category>
            <category>sarkar</category>
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            <title>Improving Playtesting Coverage via Curiosity Driven Reinforcement Learning...</title>
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            <description>&lt;p&gt;Author: Camilo Gordillo, Joakim Bergdahl, Konrad Tollmar and Linus Gisslen.&lt;br /&gt;
Title: Improving Playtesting Coverage via Curiosity Driven Reinforcement Learning Agents.&lt;br /&gt;
Analytics and Player Psychology Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71684715/improving-playtesting-coverage-via"&gt;&lt;img src="http://video.itu.dk/64968569/71684715/05dc0902d09b4c2d0553990a7db6913e/standard/download-6-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
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            <media:title>Improving Playtesting Coverage via Curiosity Driven Reinforcement Learning...</media:title>
            <itunes:summary>Author: Camilo Gordillo, Joakim Bergdahl, Konrad Tollmar and Linus Gisslen.
Title: Improving Playtesting Coverage via Curiosity Driven Reinforcement Learning Agents.
Analytics and Player Psychology Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: Camilo Gordillo, Joakim Bergdahl, Konrad Tollmar and Linus Gisslen.
Title: Improving Playtesting Coverage via Curiosity Driven Reinforcement Learning Agents.
Analytics and Player Psychology Track - Long Paper (20 min) - IEEE Conference on...</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>19:09</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: Camilo Gordillo, Joakim Bergdahl, Konrad Tollmar and Linus Gisslen.&lt;br /&gt;
Title: Improving Playtesting Coverage via Curiosity Driven Reinforcement Learning Agents.&lt;br /&gt;
Analytics and Player Psychology Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71684715/improving-playtesting-coverage-via"&gt;&lt;img src="http://video.itu.dk/64968569/71684715/05dc0902d09b4c2d0553990a7db6913e/standard/download-6-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
            <media:content url="https://video.itu.dk/v.ihtml/player.html?token=05dc0902d09b4c2d0553990a7db6913e&amp;source=podcast&amp;photo%5fid=71684715" width="625" height="351" type="text/html" medium="video" duration="1149" isDefault="true" expression="full"/>
            <media:thumbnail url="http://video.itu.dk/64968569/71684715/05dc0902d09b4c2d0553990a7db6913e/standard/download-6-thumbnail.jpg" width="75" height=""/>
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            <category>2021</category>
            <category>bergdahl</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>gisslen</category>
            <category>gordillo</category>
            <category>learning</category>
            <category>playtest</category>
            <category>reinforcement</category>
            <category>tollmar</category>
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        <item>
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            <title>Analysing simplified Geister using DREAM</title>
            <link>http://video.itu.dk/photo/71684755/analysing-simplified-geister-using</link>
            <description>&lt;p&gt;Author: Lucien Troillet and Kiminori Matsuzaki.&lt;br /&gt;
Title: Analysing simplified Geister using DREAM.&lt;br /&gt;
Game Studies and Narrative - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71684755/analysing-simplified-geister-using"&gt;&lt;img src="http://video.itu.dk/64968558/71684755/089627da6a249e8f0cc66bee64d05b4e/standard/download-6-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
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            <media:title>Analysing simplified Geister using DREAM</media:title>
            <itunes:summary>Author: Lucien Troillet and Kiminori Matsuzaki.
Title: Analysing simplified Geister using DREAM.
Game Studies and Narrative - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: Lucien Troillet and Kiminori Matsuzaki.
Title: Analysing simplified Geister using DREAM.
Game Studies and Narrative - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>19:33</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: Lucien Troillet and Kiminori Matsuzaki.&lt;br /&gt;
Title: Analysing simplified Geister using DREAM.&lt;br /&gt;
Game Studies and Narrative - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71684755/analysing-simplified-geister-using"&gt;&lt;img src="http://video.itu.dk/64968558/71684755/089627da6a249e8f0cc66bee64d05b4e/standard/download-6-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
            <media:content url="https://video.itu.dk/v.ihtml/player.html?token=089627da6a249e8f0cc66bee64d05b4e&amp;source=podcast&amp;photo%5fid=71684755" width="625" height="351" type="text/html" medium="video" duration="1173" isDefault="true" expression="full"/>
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            <category>2021</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>dream</category>
            <category>geister</category>
            <category>matsuzaki</category>
            <category>troillet</category>
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            <title>Planning in the midst of chaos: how a  stochastic Blood Bowl model can help...</title>
            <link>http://video.itu.dk/photo/71684800/planning-in-the-midst-of-chaos-how</link>
            <description>&lt;p&gt;Author: Jérémie Humeau, Alexis Lebis, Mathieu Vermeulen and Guillaume Lozenguez.&lt;br /&gt;
Title: Planning in the midst of chaos: how a stochastic Blood Bowl model can help to identify key planning features.&lt;br /&gt;
Game Studies and Narrative - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71684800/planning-in-the-midst-of-chaos-how"&gt;&lt;img src="http://video.itu.dk/64968570/71684800/a436faeef97753dcf64c2434834f15a7/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
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            <pubDate>Wed, 03 Nov 2021 15:23:57 GMT</pubDate>
            <media:title>Planning in the midst of chaos: how a  stochastic Blood Bowl model can help...</media:title>
            <itunes:summary>Author: Jérémie Humeau, Alexis Lebis, Mathieu Vermeulen and Guillaume Lozenguez.
Title: Planning in the midst of chaos: how a stochastic Blood Bowl model can help to identify key planning features.
Game Studies and Narrative - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: Jérémie Humeau, Alexis Lebis, Mathieu Vermeulen and Guillaume Lozenguez.
Title: Planning in the midst of chaos: how a stochastic Blood Bowl model can help to identify key planning features.
Game Studies and Narrative - Long Paper (20 min)...</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>15:32</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: Jérémie Humeau, Alexis Lebis, Mathieu Vermeulen and Guillaume Lozenguez.&lt;br /&gt;
Title: Planning in the midst of chaos: how a stochastic Blood Bowl model can help to identify key planning features.&lt;br /&gt;
Game Studies and Narrative - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71684800/planning-in-the-midst-of-chaos-how"&gt;&lt;img src="http://video.itu.dk/64968570/71684800/a436faeef97753dcf64c2434834f15a7/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
            <media:content url="https://video.itu.dk/v.ihtml/player.html?token=a436faeef97753dcf64c2434834f15a7&amp;source=podcast&amp;photo%5fid=71684800" width="625" height="351" type="text/html" medium="video" duration="932" isDefault="true" expression="full"/>
            <media:thumbnail url="http://video.itu.dk/64968570/71684800/a436faeef97753dcf64c2434834f15a7/standard/download-8-thumbnail.jpg" width="75" height=""/>
            <itunes:image href="http://video.itu.dk/64968570/71684800/a436faeef97753dcf64c2434834f15a7/standard/download-8-thumbnail.jpg/thumbnail.jpg"/>
            <category>2021</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>features</category>
            <category>humeau</category>
            <category>lebis</category>
            <category>lozenguez</category>
            <category>model</category>
            <category>stochastic</category>
            <category>vermeulen</category>
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        <item>
            <enclosure url="http://video.itu.dk/64968579/71684814/58f84fe9a7d31f6f2f6fb6a8899138cc/video_hd/story-improvisation-in-tabletop-video.mp4?source=podcast" type="video/mp4" length="30369278"/>
            <title>Story Improvisation in Tabletop Roleplaying Games: Towards a Computational...</title>
            <link>http://video.itu.dk/photo/71684814/story-improvisation-in-tabletop</link>
            <description>&lt;p&gt;Author: Devi Acharya, Michael Mateas and Noah Wardrip-Fruin.&lt;br /&gt;
Title: Story Improvisation in Tabletop Roleplaying Games: Towards a Computational Assistant for Game Masters.&lt;br /&gt;
Game Studies and Narrative - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71684814/story-improvisation-in-tabletop"&gt;&lt;img src="http://video.itu.dk/64968579/71684814/58f84fe9a7d31f6f2f6fb6a8899138cc/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
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            <pubDate>Wed, 03 Nov 2021 15:23:57 GMT</pubDate>
            <media:title>Story Improvisation in Tabletop Roleplaying Games: Towards a Computational...</media:title>
            <itunes:summary>Author: Devi Acharya, Michael Mateas and Noah Wardrip-Fruin.
Title: Story Improvisation in Tabletop Roleplaying Games: Towards a Computational Assistant for Game Masters.
Game Studies and Narrative - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: Devi Acharya, Michael Mateas and Noah Wardrip-Fruin.
Title: Story Improvisation in Tabletop Roleplaying Games: Towards a Computational Assistant for Game Masters.
Game Studies and Narrative - Long Paper (20 min) - IEEE Conference on Games...</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>19:47</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: Devi Acharya, Michael Mateas and Noah Wardrip-Fruin.&lt;br /&gt;
Title: Story Improvisation in Tabletop Roleplaying Games: Towards a Computational Assistant for Game Masters.&lt;br /&gt;
Game Studies and Narrative - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71684814/story-improvisation-in-tabletop"&gt;&lt;img src="http://video.itu.dk/64968579/71684814/58f84fe9a7d31f6f2f6fb6a8899138cc/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
            <media:content url="https://video.itu.dk/v.ihtml/player.html?token=58f84fe9a7d31f6f2f6fb6a8899138cc&amp;source=podcast&amp;photo%5fid=71684814" width="625" height="351" type="text/html" medium="video" duration="1187" isDefault="true" expression="full"/>
            <media:thumbnail url="http://video.itu.dk/64968579/71684814/58f84fe9a7d31f6f2f6fb6a8899138cc/standard/download-8-thumbnail.jpg" width="75" height=""/>
            <itunes:image href="http://video.itu.dk/64968579/71684814/58f84fe9a7d31f6f2f6fb6a8899138cc/standard/download-8-thumbnail.jpg/thumbnail.jpg"/>
            <category>2021</category>
            <category>acharya</category>
            <category>assistant</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>computational</category>
            <category>game</category>
            <category>master</category>
            <category>mateas</category>
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            <enclosure url="http://video.itu.dk/64968577/71684835/37b618d3947d1123db223875515236f8/video_hd/karelian-language-and-culture-a-video.mp4?source=podcast" type="video/mp4" length="26505678"/>
            <title>Karelian Language and Culture: a Qualitative User Study of Mobile and Web Games</title>
            <link>http://video.itu.dk/photo/71684835/karelian-language-and-culture-a</link>
            <description>&lt;p&gt;Author: Leena Arhippainen and Paula Alavesa.&lt;br /&gt;
Title: Karelian Language and Culture: a Qualitative User Study of Mobile and Web Games.&lt;br /&gt;
Game Studies - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71684835/karelian-language-and-culture-a"&gt;&lt;img src="http://video.itu.dk/64968577/71684835/37b618d3947d1123db223875515236f8/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
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            <pubDate>Wed, 03 Nov 2021 15:23:57 GMT</pubDate>
            <media:title>Karelian Language and Culture: a Qualitative User Study of Mobile and Web Games</media:title>
            <itunes:summary>Author: Leena Arhippainen and Paula Alavesa.
Title: Karelian Language and Culture: a Qualitative User Study of Mobile and Web Games.
Game Studies - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: Leena Arhippainen and Paula Alavesa.
Title: Karelian Language and Culture: a Qualitative User Study of Mobile and Web Games.
Game Studies - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>19:00</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: Leena Arhippainen and Paula Alavesa.&lt;br /&gt;
Title: Karelian Language and Culture: a Qualitative User Study of Mobile and Web Games.&lt;br /&gt;
Game Studies - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71684835/karelian-language-and-culture-a"&gt;&lt;img src="http://video.itu.dk/64968577/71684835/37b618d3947d1123db223875515236f8/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
            <media:content url="https://video.itu.dk/v.ihtml/player.html?token=37b618d3947d1123db223875515236f8&amp;source=podcast&amp;photo%5fid=71684835" width="625" height="351" type="text/html" medium="video" duration="1140" isDefault="true" expression="full"/>
            <media:thumbnail url="http://video.itu.dk/64968577/71684835/37b618d3947d1123db223875515236f8/standard/download-8-thumbnail.jpg" width="75" height=""/>
            <itunes:image href="http://video.itu.dk/64968577/71684835/37b618d3947d1123db223875515236f8/standard/download-8-thumbnail.jpg/thumbnail.jpg"/>
            <category>2021</category>
            <category>alavesa</category>
            <category>arhippainen</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>karelian</category>
            <category>mobile</category>
            <category>user</category>
        </item>
        <item>
            <enclosure url="http://video.itu.dk/64968571/71684858/5f86be66a328121b25368474bb9781ff/video_hd/heuristic-evaluation-of-a-mobile-video.mp4?source=podcast" type="video/mp4" length="23520833"/>
            <title>Heuristic Evaluation of a Mobile Game Developed to Help Battle the Pandemic</title>
            <link>http://video.itu.dk/photo/71684858/heuristic-evaluation-of-a-mobile</link>
            <description>&lt;p&gt;Author: Sami Pohjolainen et al.&lt;br /&gt;
Title: Heuristic Evaluation of a Mobile Game Developed to Help Battle the Pandemic.&lt;br /&gt;
Game Studies - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71684858/heuristic-evaluation-of-a-mobile"&gt;&lt;img src="http://video.itu.dk/64968571/71684858/5f86be66a328121b25368474bb9781ff/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
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            <pubDate>Wed, 03 Nov 2021 15:23:57 GMT</pubDate>
            <media:title>Heuristic Evaluation of a Mobile Game Developed to Help Battle the Pandemic</media:title>
            <itunes:summary>Author: Sami Pohjolainen et al.
Title: Heuristic Evaluation of a Mobile Game Developed to Help Battle the Pandemic.
Game Studies - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: Sami Pohjolainen et al.
Title: Heuristic Evaluation of a Mobile Game Developed to Help Battle the Pandemic.
Game Studies - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>17:20</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: Sami Pohjolainen et al.&lt;br /&gt;
Title: Heuristic Evaluation of a Mobile Game Developed to Help Battle the Pandemic.&lt;br /&gt;
Game Studies - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71684858/heuristic-evaluation-of-a-mobile"&gt;&lt;img src="http://video.itu.dk/64968571/71684858/5f86be66a328121b25368474bb9781ff/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
            <media:content url="https://video.itu.dk/v.ihtml/player.html?token=5f86be66a328121b25368474bb9781ff&amp;source=podcast&amp;photo%5fid=71684858" width="625" height="351" type="text/html" medium="video" duration="1040" isDefault="true" expression="full"/>
            <media:thumbnail url="http://video.itu.dk/64968571/71684858/5f86be66a328121b25368474bb9781ff/standard/download-8-thumbnail.jpg" width="75" height=""/>
            <itunes:image href="http://video.itu.dk/64968571/71684858/5f86be66a328121b25368474bb9781ff/standard/download-8-thumbnail.jpg/thumbnail.jpg"/>
            <category>2021</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>evaluation</category>
            <category>game</category>
            <category>heuristic</category>
            <category>mobile</category>
            <category>pandemic</category>
            <category>pohjolainen</category>
        </item>
        <item>
            <enclosure url="http://video.itu.dk/64968579/71684891/cb0c2525a1698b273ac2528c05b5ebd4/video_hd/physically-active-games-for-the-video.mp4?source=podcast" type="video/mp4" length="22162914"/>
            <title>Physically Active Games for the Cognitive Activation of Students</title>
            <link>http://video.itu.dk/photo/71684891/physically-active-games-for-the</link>
            <description>&lt;p&gt;Author: Daniel Cermak-Sassenrath.&lt;br /&gt;
Title: Physically Active Games for the Cognitive Activation of Students.&lt;br /&gt;
Game Studies - Short Paper (10 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71684891/physically-active-games-for-the"&gt;&lt;img src="http://video.itu.dk/64968579/71684891/cb0c2525a1698b273ac2528c05b5ebd4/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
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            <pubDate>Wed, 03 Nov 2021 15:23:57 GMT</pubDate>
            <media:title>Physically Active Games for the Cognitive Activation of Students</media:title>
            <itunes:summary>Author: Daniel Cermak-Sassenrath.
Title: Physically Active Games for the Cognitive Activation of Students.
Game Studies - Short Paper (10 min) - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: Daniel Cermak-Sassenrath.
Title: Physically Active Games for the Cognitive Activation of Students.
Game Studies - Short Paper (10 min) - IEEE Conference on Games 2021</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>13:08</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: Daniel Cermak-Sassenrath.&lt;br /&gt;
Title: Physically Active Games for the Cognitive Activation of Students.&lt;br /&gt;
Game Studies - Short Paper (10 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71684891/physically-active-games-for-the"&gt;&lt;img src="http://video.itu.dk/64968579/71684891/cb0c2525a1698b273ac2528c05b5ebd4/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
            <media:content url="https://video.itu.dk/v.ihtml/player.html?token=cb0c2525a1698b273ac2528c05b5ebd4&amp;source=podcast&amp;photo%5fid=71684891" width="625" height="351" type="text/html" medium="video" duration="788" isDefault="true" expression="full"/>
            <media:thumbnail url="http://video.itu.dk/64968579/71684891/cb0c2525a1698b273ac2528c05b5ebd4/standard/download-8-thumbnail.jpg" width="75" height=""/>
            <itunes:image href="http://video.itu.dk/64968579/71684891/cb0c2525a1698b273ac2528c05b5ebd4/standard/download-8-thumbnail.jpg/thumbnail.jpg"/>
            <category>2021</category>
            <category>activation</category>
            <category>cermak</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>cognitive</category>
            <category>physically</category>
            <category>sassenrath</category>
            <category>students</category>
        </item>
        <item>
            <enclosure url="http://video.itu.dk/64968561/71684937/27251f3f5ee64c667bf747e110dc27cf/video_hd/vintage-cryptokitties-and-the-quest-video.mp4?source=podcast" type="video/mp4" length="31192860"/>
            <title>Vintage CryptoKitties and the Quest for Authenticity</title>
            <link>http://video.itu.dk/photo/71684937/vintage-cryptokitties-and-the-quest</link>
            <description>&lt;p&gt;Author: Alesha Serada.&lt;br /&gt;
Title: Vintage CryptoKitties and the Quest for Authenticity.&lt;br /&gt;
Game Studies - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71684937/vintage-cryptokitties-and-the-quest"&gt;&lt;img src="http://video.itu.dk/64968561/71684937/27251f3f5ee64c667bf747e110dc27cf/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
            <guid>http://video.itu.dk/photo/71684937</guid>
            <pubDate>Wed, 03 Nov 2021 15:23:57 GMT</pubDate>
            <media:title>Vintage CryptoKitties and the Quest for Authenticity</media:title>
            <itunes:summary>Author: Alesha Serada.
Title: Vintage CryptoKitties and the Quest for Authenticity.
Game Studies - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: Alesha Serada.
Title: Vintage CryptoKitties and the Quest for Authenticity.
Game Studies - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>23:31</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: Alesha Serada.&lt;br /&gt;
Title: Vintage CryptoKitties and the Quest for Authenticity.&lt;br /&gt;
Game Studies - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71684937/vintage-cryptokitties-and-the-quest"&gt;&lt;img src="http://video.itu.dk/64968561/71684937/27251f3f5ee64c667bf747e110dc27cf/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
            <media:content url="https://video.itu.dk/v.ihtml/player.html?token=27251f3f5ee64c667bf747e110dc27cf&amp;source=podcast&amp;photo%5fid=71684937" width="625" height="351" type="text/html" medium="video" duration="1411" isDefault="true" expression="full"/>
            <media:thumbnail url="http://video.itu.dk/64968561/71684937/27251f3f5ee64c667bf747e110dc27cf/standard/download-8-thumbnail.jpg" width="75" height=""/>
            <itunes:image href="http://video.itu.dk/64968561/71684937/27251f3f5ee64c667bf747e110dc27cf/standard/download-8-thumbnail.jpg/thumbnail.jpg"/>
            <category>2021</category>
            <category>authenticity</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>crypto</category>
            <category>serada</category>
        </item>
        <item>
            <enclosure url="http://video.itu.dk/64968570/71684950/5d5bc6ff3413bd6dd20376f03b71a70f/video_hd/i-never-imagined-that-i-would-work-video.mp4?source=podcast" type="video/mp4" length="32431982"/>
            <title>I Never Imagined That I Would Work In The Digital Game Industry</title>
            <link>http://video.itu.dk/photo/71684950/i-never-imagined-that-i-would-work</link>
            <description>&lt;p&gt;Author: Luciana Lima, Camila Pinto, Patrícia Gouveia and Pedro Cardoso.&lt;br /&gt;
Title: I Never Imagined That I Would Work In The Digital Game Industry.&lt;br /&gt;
Game Studies - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71684950/i-never-imagined-that-i-would-work"&gt;&lt;img src="http://video.itu.dk/64968570/71684950/5d5bc6ff3413bd6dd20376f03b71a70f/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
            <guid>http://video.itu.dk/photo/71684950</guid>
            <pubDate>Wed, 03 Nov 2021 15:23:57 GMT</pubDate>
            <media:title>I Never Imagined That I Would Work In The Digital Game Industry</media:title>
            <itunes:summary>Author: Luciana Lima, Camila Pinto, Patrícia Gouveia and Pedro Cardoso.
Title: I Never Imagined That I Would Work In The Digital Game Industry.
Game Studies - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: Luciana Lima, Camila Pinto, Patrícia Gouveia and Pedro Cardoso.
Title: I Never Imagined That I Would Work In The Digital Game Industry.
Game Studies - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>22:26</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: Luciana Lima, Camila Pinto, Patrícia Gouveia and Pedro Cardoso.&lt;br /&gt;
Title: I Never Imagined That I Would Work In The Digital Game Industry.&lt;br /&gt;
Game Studies - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71684950/i-never-imagined-that-i-would-work"&gt;&lt;img src="http://video.itu.dk/64968570/71684950/5d5bc6ff3413bd6dd20376f03b71a70f/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
            <media:content url="https://video.itu.dk/v.ihtml/player.html?token=5d5bc6ff3413bd6dd20376f03b71a70f&amp;source=podcast&amp;photo%5fid=71684950" width="625" height="351" type="text/html" medium="video" duration="1346" isDefault="true" expression="full"/>
            <media:thumbnail url="http://video.itu.dk/64968570/71684950/5d5bc6ff3413bd6dd20376f03b71a70f/standard/download-8-thumbnail.jpg" width="75" height=""/>
            <itunes:image href="http://video.itu.dk/64968570/71684950/5d5bc6ff3413bd6dd20376f03b71a70f/standard/download-8-thumbnail.jpg/thumbnail.jpg"/>
            <category>2021</category>
            <category>cardoso</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>game</category>
            <category>gouveia</category>
            <category>industry</category>
            <category>lima</category>
            <category>pinto</category>
        </item>
        <item>
            <enclosure url="http://video.itu.dk/64968556/71684994/371e63363b6da324795baaeb8f00d7b7/video_hd/the-purposes-and-meanings-of-video-video.mp4?source=podcast" type="video/mp4" length="38907412"/>
            <title>The Purposes and Meanings of Video Game Bathrooms</title>
            <link>http://video.itu.dk/photo/71684994/the-purposes-and-meanings-of-video</link>
            <description>&lt;p&gt;Author: David Antognoli and Joshua Fisher.&lt;br /&gt;
Title: The Purposes and Meanings of Video Game Bathrooms.&lt;br /&gt;
Game Studies - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71684994/the-purposes-and-meanings-of-video"&gt;&lt;img src="http://video.itu.dk/64968556/71684994/371e63363b6da324795baaeb8f00d7b7/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
            <guid>http://video.itu.dk/photo/71684994</guid>
            <pubDate>Wed, 03 Nov 2021 15:23:57 GMT</pubDate>
            <media:title>The Purposes and Meanings of Video Game Bathrooms</media:title>
            <itunes:summary>Author: David Antognoli and Joshua Fisher.
Title: The Purposes and Meanings of Video Game Bathrooms.
Game Studies - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: David Antognoli and Joshua Fisher.
Title: The Purposes and Meanings of Video Game Bathrooms.
Game Studies - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>18:03</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: David Antognoli and Joshua Fisher.&lt;br /&gt;
Title: The Purposes and Meanings of Video Game Bathrooms.&lt;br /&gt;
Game Studies - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71684994/the-purposes-and-meanings-of-video"&gt;&lt;img src="http://video.itu.dk/64968556/71684994/371e63363b6da324795baaeb8f00d7b7/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
            <media:content url="https://video.itu.dk/v.ihtml/player.html?token=371e63363b6da324795baaeb8f00d7b7&amp;source=podcast&amp;photo%5fid=71684994" width="625" height="351" type="text/html" medium="video" duration="1083" isDefault="true" expression="full"/>
            <media:thumbnail url="http://video.itu.dk/64968556/71684994/371e63363b6da324795baaeb8f00d7b7/standard/download-8-thumbnail.jpg" width="75" height=""/>
            <itunes:image href="http://video.itu.dk/64968556/71684994/371e63363b6da324795baaeb8f00d7b7/standard/download-8-thumbnail.jpg/thumbnail.jpg"/>
            <category>2021</category>
            <category>antognoli</category>
            <category>bathroom</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>fisher</category>
            <category>game</category>
            <category>meaning</category>
            <category>purpose</category>
        </item>
        <item>
            <enclosure url="http://video.itu.dk/64968576/71683105/26e23ece22f757c8dc401b20052bd817/video_hd/designing-and-comparing-time-rewind-video.mp4?source=podcast" type="video/mp4" length="27981541"/>
            <title>Designing and Comparing Time Rewind Mechanics in 2D Interactive Game</title>
            <link>http://video.itu.dk/photo/71683105/designing-and-comparing-time-rewind</link>
            <description>&lt;p&gt;Author: Yutong Shi.&lt;br /&gt;
Title: Designing and Comparing Time Rewind Mechanics in 2D Interactive Game.&lt;br /&gt;
Game Design Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71683105/designing-and-comparing-time-rewind"&gt;&lt;img src="http://video.itu.dk/64968576/71683105/26e23ece22f757c8dc401b20052bd817/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
            <guid>http://video.itu.dk/photo/71683105</guid>
            <pubDate>Wed, 03 Nov 2021 15:22:50 GMT</pubDate>
            <media:title>Designing and Comparing Time Rewind Mechanics in 2D Interactive Game</media:title>
            <itunes:summary>Author: Yutong Shi.
Title: Designing and Comparing Time Rewind Mechanics in 2D Interactive Game.
Game Design Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: Yutong Shi.
Title: Designing and Comparing Time Rewind Mechanics in 2D Interactive Game.
Game Design Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>14:49</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: Yutong Shi.&lt;br /&gt;
Title: Designing and Comparing Time Rewind Mechanics in 2D Interactive Game.&lt;br /&gt;
Game Design Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71683105/designing-and-comparing-time-rewind"&gt;&lt;img src="http://video.itu.dk/64968576/71683105/26e23ece22f757c8dc401b20052bd817/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
            <media:content url="https://video.itu.dk/v.ihtml/player.html?token=26e23ece22f757c8dc401b20052bd817&amp;source=podcast&amp;photo%5fid=71683105" width="625" height="351" type="text/html" medium="video" duration="889" isDefault="true" expression="full"/>
            <media:thumbnail url="http://video.itu.dk/64968576/71683105/26e23ece22f757c8dc401b20052bd817/standard/download-8-thumbnail.jpg" width="75" height=""/>
            <itunes:image href="http://video.itu.dk/64968576/71683105/26e23ece22f757c8dc401b20052bd817/standard/download-8-thumbnail.jpg/thumbnail.jpg"/>
            <category>2021</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>rewind</category>
            <category>Shi</category>
            <category>time</category>
        </item>
        <item>
            <enclosure url="http://video.itu.dk/64968571/71683161/6096489033359291f6662983cc245337/video_hd/an-exploration-into-perceived-sense-video.mp4?source=podcast" type="video/mp4" length="22658874"/>
            <title>An Exploration into “Perceived Sense of Challenge” in Level Design for fast...</title>
            <link>http://video.itu.dk/photo/71683161/an-exploration-into-perceived-sense</link>
            <description>&lt;p&gt;Author: Shikhar Juyal&lt;br /&gt;
Title: An Exploration into “Perceived Sense of Challenge” in Level Design for fast paced Casual Mobile Games&lt;br /&gt;
Game Design Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71683161/an-exploration-into-perceived-sense"&gt;&lt;img src="http://video.itu.dk/64968571/71683161/6096489033359291f6662983cc245337/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
            <guid>http://video.itu.dk/photo/71683161</guid>
            <pubDate>Wed, 03 Nov 2021 15:22:50 GMT</pubDate>
            <media:title>An Exploration into “Perceived Sense of Challenge” in Level Design for fast...</media:title>
            <itunes:summary>Author: Shikhar Juyal
Title: An Exploration into “Perceived Sense of Challenge” in Level Design for fast paced Casual Mobile Games
Game Design Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: Shikhar Juyal
Title: An Exploration into “Perceived Sense of Challenge” in Level Design for fast paced Casual Mobile Games
Game Design Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>15:11</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: Shikhar Juyal&lt;br /&gt;
Title: An Exploration into “Perceived Sense of Challenge” in Level Design for fast paced Casual Mobile Games&lt;br /&gt;
Game Design Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71683161/an-exploration-into-perceived-sense"&gt;&lt;img src="http://video.itu.dk/64968571/71683161/6096489033359291f6662983cc245337/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
            <media:content url="https://video.itu.dk/v.ihtml/player.html?token=6096489033359291f6662983cc245337&amp;source=podcast&amp;photo%5fid=71683161" width="625" height="351" type="text/html" medium="video" duration="911" isDefault="true" expression="full"/>
            <media:thumbnail url="http://video.itu.dk/64968571/71683161/6096489033359291f6662983cc245337/standard/download-8-thumbnail.jpg" width="75" height=""/>
            <itunes:image href="http://video.itu.dk/64968571/71683161/6096489033359291f6662983cc245337/standard/download-8-thumbnail.jpg/thumbnail.jpg"/>
            <category>2021</category>
            <category>challenge</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>design</category>
            <category>juyal</category>
            <category>level</category>
            <category>perceived</category>
        </item>
        <item>
            <enclosure url="http://video.itu.dk/64968577/71683200/4d814037169e164411c655d035f02eb8/video_hd/soundoku-a-sound-puzzle-game-video.mp4?source=podcast" type="video/mp4" length="16710155"/>
            <title>Soundoku: A sound puzzle game</title>
            <link>http://video.itu.dk/photo/71683200/soundoku-a-sound-puzzle-game</link>
            <description>&lt;p&gt;Author: Aline Hufschmitt, Adrien Dombrowsky and Adam Sporka&lt;br /&gt;
Title: Soundoku: A sound puzzle game&lt;br /&gt;
Game Design Track - Short Paper (10 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71683200/soundoku-a-sound-puzzle-game"&gt;&lt;img src="http://video.itu.dk/64968577/71683200/4d814037169e164411c655d035f02eb8/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
            <guid>http://video.itu.dk/photo/71683200</guid>
            <pubDate>Wed, 03 Nov 2021 15:22:50 GMT</pubDate>
            <media:title>Soundoku: A sound puzzle game</media:title>
            <itunes:summary>Author: Aline Hufschmitt, Adrien Dombrowsky and Adam Sporka
Title: Soundoku: A sound puzzle game
Game Design Track - Short Paper (10 min) - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: Aline Hufschmitt, Adrien Dombrowsky and Adam Sporka
Title: Soundoku: A sound puzzle game
Game Design Track - Short Paper (10 min) - IEEE Conference on Games 2021</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>10:48</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: Aline Hufschmitt, Adrien Dombrowsky and Adam Sporka&lt;br /&gt;
Title: Soundoku: A sound puzzle game&lt;br /&gt;
Game Design Track - Short Paper (10 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71683200/soundoku-a-sound-puzzle-game"&gt;&lt;img src="http://video.itu.dk/64968577/71683200/4d814037169e164411c655d035f02eb8/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
            <media:content url="https://video.itu.dk/v.ihtml/player.html?token=4d814037169e164411c655d035f02eb8&amp;source=podcast&amp;photo%5fid=71683200" width="625" height="351" type="text/html" medium="video" duration="648" isDefault="true" expression="full"/>
            <media:thumbnail url="http://video.itu.dk/64968577/71683200/4d814037169e164411c655d035f02eb8/standard/download-8-thumbnail.jpg" width="75" height=""/>
            <itunes:image href="http://video.itu.dk/64968577/71683200/4d814037169e164411c655d035f02eb8/standard/download-8-thumbnail.jpg/thumbnail.jpg"/>
            <category>2021</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>Dombrowsky</category>
            <category>Hufschmitt</category>
            <category>puzzle</category>
            <category>sound</category>
            <category>Sporka</category>
        </item>
        <item>
            <enclosure url="http://video.itu.dk/64968569/71683219/3be17f98d8fb94feee963901b84a54ee/video_hd/stereotypes-as-design-patterns-for-video.mp4?source=podcast" type="video/mp4" length="12187405"/>
            <title>Stereotypes as Design Patterns for Serious Games to Enhance Software...</title>
            <link>http://video.itu.dk/photo/71683219/stereotypes-as-design-patterns-for</link>
            <description>&lt;p&gt;Author: René Gökmen et al.&lt;br /&gt;
Title: Stereotypes as Design Patterns for Serious Games to Enhance Software Comprehension&lt;br /&gt;
Game Design Track - Short Paper (10 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71683219/stereotypes-as-design-patterns-for"&gt;&lt;img src="http://video.itu.dk/64968569/71683219/3be17f98d8fb94feee963901b84a54ee/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
            <guid>http://video.itu.dk/photo/71683219</guid>
            <pubDate>Wed, 03 Nov 2021 15:22:50 GMT</pubDate>
            <media:title>Stereotypes as Design Patterns for Serious Games to Enhance Software...</media:title>
            <itunes:summary>Author: René Gökmen et al.
Title: Stereotypes as Design Patterns for Serious Games to Enhance Software Comprehension
Game Design Track - Short Paper (10 min) - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: René Gökmen et al.
Title: Stereotypes as Design Patterns for Serious Games to Enhance Software Comprehension
Game Design Track - Short Paper (10 min) - IEEE Conference on Games 2021</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>09:36</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: René Gökmen et al.&lt;br /&gt;
Title: Stereotypes as Design Patterns for Serious Games to Enhance Software Comprehension&lt;br /&gt;
Game Design Track - Short Paper (10 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71683219/stereotypes-as-design-patterns-for"&gt;&lt;img src="http://video.itu.dk/64968569/71683219/3be17f98d8fb94feee963901b84a54ee/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
            <media:content url="https://video.itu.dk/v.ihtml/player.html?token=3be17f98d8fb94feee963901b84a54ee&amp;source=podcast&amp;photo%5fid=71683219" width="625" height="351" type="text/html" medium="video" duration="576" isDefault="true" expression="full"/>
            <media:thumbnail url="http://video.itu.dk/64968569/71683219/3be17f98d8fb94feee963901b84a54ee/standard/download-8-thumbnail.jpg" width="75" height=""/>
            <itunes:image href="http://video.itu.dk/64968569/71683219/3be17f98d8fb94feee963901b84a54ee/standard/download-8-thumbnail.jpg/thumbnail.jpg"/>
            <category>2021</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>design</category>
            <category>Gökmen</category>
            <category>patterns</category>
            <category>serious</category>
        </item>
        <item>
            <enclosure url="http://video.itu.dk/64968566/71683273/7ba99b9db6fc6fc0a1328ac84667919d/video_hd/measuring-difficulty-of-novel-video.mp4?source=podcast" type="video/mp4" length="27438913"/>
            <title>Measuring Difficulty of Novel Clockwork Puzzle Using Evolutionary Algorithms</title>
            <link>http://video.itu.dk/photo/71683273/measuring-difficulty-of-novel</link>
            <description>&lt;p&gt;Author: Connor Gregor&lt;br /&gt;
Title: Measuring Difficulty of Novel Clockwork Puzzle Using Evolutionary Algorithms&lt;br /&gt;
Game Design Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71683273/measuring-difficulty-of-novel"&gt;&lt;img src="http://video.itu.dk/64968566/71683273/7ba99b9db6fc6fc0a1328ac84667919d/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
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            <pubDate>Wed, 03 Nov 2021 15:22:50 GMT</pubDate>
            <media:title>Measuring Difficulty of Novel Clockwork Puzzle Using Evolutionary Algorithms</media:title>
            <itunes:summary>Author: Connor Gregor
Title: Measuring Difficulty of Novel Clockwork Puzzle Using Evolutionary Algorithms
Game Design Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: Connor Gregor
Title: Measuring Difficulty of Novel Clockwork Puzzle Using Evolutionary Algorithms
Game Design Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>17:56</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: Connor Gregor&lt;br /&gt;
Title: Measuring Difficulty of Novel Clockwork Puzzle Using Evolutionary Algorithms&lt;br /&gt;
Game Design Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71683273/measuring-difficulty-of-novel"&gt;&lt;img src="http://video.itu.dk/64968566/71683273/7ba99b9db6fc6fc0a1328ac84667919d/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
            <media:content url="https://video.itu.dk/v.ihtml/player.html?token=7ba99b9db6fc6fc0a1328ac84667919d&amp;source=podcast&amp;photo%5fid=71683273" width="625" height="351" type="text/html" medium="video" duration="1076" isDefault="true" expression="full"/>
            <media:thumbnail url="http://video.itu.dk/64968566/71683273/7ba99b9db6fc6fc0a1328ac84667919d/standard/download-8-thumbnail.jpg" width="75" height=""/>
            <itunes:image href="http://video.itu.dk/64968566/71683273/7ba99b9db6fc6fc0a1328ac84667919d/standard/download-8-thumbnail.jpg/thumbnail.jpg"/>
            <category>2021</category>
            <category>algorithms</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>difficulty</category>
            <category>evolutionary</category>
            <category>Gregor</category>
            <category>puzzle</category>
        </item>
        <item>
            <enclosure url="http://video.itu.dk/64968559/71683297/33bf24b7a385e2f1a7a5f18249028763/video_hd/an-exploration-of-feedback-loops-in-video.mp4?source=podcast" type="video/mp4" length="15544951"/>
            <title>An Exploration of Feedback Loops in Friendship Games</title>
            <link>http://video.itu.dk/photo/71683297/an-exploration-of-feedback-loops-in</link>
            <description>&lt;p&gt;Author: Gabriel Henriksen Gaspar and Henrik Schoenau-Fog.&lt;br /&gt;
Title: An Exploration of Feedback Loops in Friendship Games.&lt;br /&gt;
Game Design Track - Short Paper (10 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71683297/an-exploration-of-feedback-loops-in"&gt;&lt;img src="http://video.itu.dk/64968559/71683297/33bf24b7a385e2f1a7a5f18249028763/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
            <guid>http://video.itu.dk/photo/71683297</guid>
            <pubDate>Wed, 03 Nov 2021 15:22:50 GMT</pubDate>
            <media:title>An Exploration of Feedback Loops in Friendship Games</media:title>
            <itunes:summary>Author: Gabriel Henriksen Gaspar and Henrik Schoenau-Fog.
Title: An Exploration of Feedback Loops in Friendship Games.
Game Design Track - Short Paper (10 min) - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: Gabriel Henriksen Gaspar and Henrik Schoenau-Fog.
Title: An Exploration of Feedback Loops in Friendship Games.
Game Design Track - Short Paper (10 min) - IEEE Conference on Games 2021</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>10:41</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: Gabriel Henriksen Gaspar and Henrik Schoenau-Fog.&lt;br /&gt;
Title: An Exploration of Feedback Loops in Friendship Games.&lt;br /&gt;
Game Design Track - Short Paper (10 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71683297/an-exploration-of-feedback-loops-in"&gt;&lt;img src="http://video.itu.dk/64968559/71683297/33bf24b7a385e2f1a7a5f18249028763/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
            <media:content url="https://video.itu.dk/v.ihtml/player.html?token=33bf24b7a385e2f1a7a5f18249028763&amp;source=podcast&amp;photo%5fid=71683297" width="625" height="351" type="text/html" medium="video" duration="641" isDefault="true" expression="full"/>
            <media:thumbnail url="http://video.itu.dk/64968559/71683297/33bf24b7a385e2f1a7a5f18249028763/standard/download-8-thumbnail.jpg" width="75" height=""/>
            <itunes:image href="http://video.itu.dk/64968559/71683297/33bf24b7a385e2f1a7a5f18249028763/standard/download-8-thumbnail.jpg/thumbnail.jpg"/>
            <category>2021</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>feedback</category>
            <category>Gaspar</category>
            <category>loop</category>
            <category>Schoenau-Fog</category>
        </item>
        <item>
            <enclosure url="http://video.itu.dk/64968578/71683358/7edc602d1d16b872cbb85ea07bfca2f0/video_hd/trust-ya-design-of-a-multiplayer-video.mp4?source=podcast" type="video/mp4" length="13054362"/>
            <title>Trust-ya: design of a multiplayer game for the study of small group processes</title>
            <link>http://video.itu.dk/photo/71683358/trust-ya-design-of-a-multiplayer</link>
            <description>&lt;p&gt;Author: Jerry Huang, Joshua Jung, Neil Budnarain, Benn McGregor and Jesse Hoey.&lt;br /&gt;
Title: Trust-ya: design of a multiplayer game for the study of small group processes.&lt;br /&gt;
Game Design Track - Short Paper (10 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71683358/trust-ya-design-of-a-multiplayer"&gt;&lt;img src="http://video.itu.dk/64968578/71683358/7edc602d1d16b872cbb85ea07bfca2f0/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
            <guid>http://video.itu.dk/photo/71683358</guid>
            <pubDate>Wed, 03 Nov 2021 15:22:50 GMT</pubDate>
            <media:title>Trust-ya: design of a multiplayer game for the study of small group processes</media:title>
            <itunes:summary>Author: Jerry Huang, Joshua Jung, Neil Budnarain, Benn McGregor and Jesse Hoey.
Title: Trust-ya: design of a multiplayer game for the study of small group processes.
Game Design Track - Short Paper (10 min) - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: Jerry Huang, Joshua Jung, Neil Budnarain, Benn McGregor and Jesse Hoey.
Title: Trust-ya: design of a multiplayer game for the study of small group processes.
Game Design Track - Short Paper (10 min) - IEEE Conference on Games 2021</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>08:58</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: Jerry Huang, Joshua Jung, Neil Budnarain, Benn McGregor and Jesse Hoey.&lt;br /&gt;
Title: Trust-ya: design of a multiplayer game for the study of small group processes.&lt;br /&gt;
Game Design Track - Short Paper (10 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71683358/trust-ya-design-of-a-multiplayer"&gt;&lt;img src="http://video.itu.dk/64968578/71683358/7edc602d1d16b872cbb85ea07bfca2f0/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
            <media:content url="https://video.itu.dk/v.ihtml/player.html?token=7edc602d1d16b872cbb85ea07bfca2f0&amp;source=podcast&amp;photo%5fid=71683358" width="625" height="351" type="text/html" medium="video" duration="538" isDefault="true" expression="full"/>
            <media:thumbnail url="http://video.itu.dk/64968578/71683358/7edc602d1d16b872cbb85ea07bfca2f0/standard/download-8-thumbnail.jpg" width="75" height=""/>
            <itunes:image href="http://video.itu.dk/64968578/71683358/7edc602d1d16b872cbb85ea07bfca2f0/standard/download-8-thumbnail.jpg/thumbnail.jpg"/>
            <category>2021</category>
            <category>Budnarain</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>Hoey</category>
            <category>Huang</category>
            <category>Jung</category>
            <category>McGregor</category>
            <category>multiplayer</category>
            <category>processes</category>
        </item>
        <item>
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            <title>Mechanics or Mechanisms: defining differences in analog games to support game...</title>
            <link>http://video.itu.dk/photo/71683384/mechanics-or-mechanisms-defining</link>
            <description>&lt;p&gt;Author: Micael Sousa, Nelson Zagalo and Ana Patrícia Oliveira.&lt;br /&gt;
Title: Mechanics or Mechanisms: defining differences in analog games to support game design.&lt;br /&gt;
Game Design Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71683384/mechanics-or-mechanisms-defining"&gt;&lt;img src="http://video.itu.dk/64968559/71683384/15291a6011f68d9e18a4effadf0fdc0a/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
            <guid>http://video.itu.dk/photo/71683384</guid>
            <pubDate>Wed, 03 Nov 2021 15:22:50 GMT</pubDate>
            <media:title>Mechanics or Mechanisms: defining differences in analog games to support game...</media:title>
            <itunes:summary>Author: Micael Sousa, Nelson Zagalo and Ana Patrícia Oliveira.
Title: Mechanics or Mechanisms: defining differences in analog games to support game design.
Game Design Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: Micael Sousa, Nelson Zagalo and Ana Patrícia Oliveira.
Title: Mechanics or Mechanisms: defining differences in analog games to support game design.
Game Design Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>17:08</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: Micael Sousa, Nelson Zagalo and Ana Patrícia Oliveira.&lt;br /&gt;
Title: Mechanics or Mechanisms: defining differences in analog games to support game design.&lt;br /&gt;
Game Design Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71683384/mechanics-or-mechanisms-defining"&gt;&lt;img src="http://video.itu.dk/64968559/71683384/15291a6011f68d9e18a4effadf0fdc0a/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
            <media:content url="https://video.itu.dk/v.ihtml/player.html?token=15291a6011f68d9e18a4effadf0fdc0a&amp;source=podcast&amp;photo%5fid=71683384" width="625" height="351" type="text/html" medium="video" duration="1028" isDefault="true" expression="full"/>
            <media:thumbnail url="http://video.itu.dk/64968559/71683384/15291a6011f68d9e18a4effadf0fdc0a/standard/download-8-thumbnail.jpg" width="75" height=""/>
            <itunes:image href="http://video.itu.dk/64968559/71683384/15291a6011f68d9e18a4effadf0fdc0a/standard/download-8-thumbnail.jpg/thumbnail.jpg"/>
            <category>2021</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>oliveira</category>
            <category>souza</category>
            <category>zagalo</category>
        </item>
        <item>
            <enclosure url="http://video.itu.dk/64968567/71683444/a735da2f42da0389347e6bccc4ac46c2/video_hd/major-developments-in-tabletop-game-video.mp4?source=podcast" type="video/mp4" length="38352315"/>
            <title>Major Developments in Tabletop Game Design</title>
            <link>http://video.itu.dk/photo/71683444/major-developments-in-tabletop-game</link>
            <description>&lt;p&gt;Author: Freddy Reiber.&lt;br /&gt;
Title: Major Developments in Tabletop Game Design.&lt;br /&gt;
Game Design Track - Long Paper (20 min) - IEEE Conference on Games 2021.&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71683444/major-developments-in-tabletop-game"&gt;&lt;img src="http://video.itu.dk/64968567/71683444/a735da2f42da0389347e6bccc4ac46c2/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
            <guid>http://video.itu.dk/photo/71683444</guid>
            <pubDate>Wed, 03 Nov 2021 15:22:50 GMT</pubDate>
            <media:title>Major Developments in Tabletop Game Design</media:title>
            <itunes:summary>Author: Freddy Reiber.
Title: Major Developments in Tabletop Game Design.
Game Design Track - Long Paper (20 min) - IEEE Conference on Games 2021.</itunes:summary>
            <itunes:subtitle>Author: Freddy Reiber.
Title: Major Developments in Tabletop Game Design.
Game Design Track - Long Paper (20 min) - IEEE Conference on Games 2021.</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>17:18</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: Freddy Reiber.&lt;br /&gt;
Title: Major Developments in Tabletop Game Design.&lt;br /&gt;
Game Design Track - Long Paper (20 min) - IEEE Conference on Games 2021.&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71683444/major-developments-in-tabletop-game"&gt;&lt;img src="http://video.itu.dk/64968567/71683444/a735da2f42da0389347e6bccc4ac46c2/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
            <media:content url="https://video.itu.dk/v.ihtml/player.html?token=a735da2f42da0389347e6bccc4ac46c2&amp;source=podcast&amp;photo%5fid=71683444" width="625" height="351" type="text/html" medium="video" duration="1038" isDefault="true" expression="full"/>
            <media:thumbnail url="http://video.itu.dk/64968567/71683444/a735da2f42da0389347e6bccc4ac46c2/standard/download-8-thumbnail.jpg" width="75" height=""/>
            <itunes:image href="http://video.itu.dk/64968567/71683444/a735da2f42da0389347e6bccc4ac46c2/standard/download-8-thumbnail.jpg/thumbnail.jpg"/>
            <category>2021</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>design</category>
            <category>reiber</category>
            <category>tabletop</category>
        </item>
        <item>
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            <title> Fairer Chess: A Reversal of Two Opening Moves in Chess Creates Balance...</title>
            <link>http://video.itu.dk/photo/71683459/fairer-chess-a-reversal-of-two</link>
            <description>&lt;p&gt;Author: Steven Brams and Mehmet Ismail.&lt;br /&gt;
Title: Fairer Chess: A Reversal of Two Opening Moves in Chess Creates Balance Between White and Black.&lt;br /&gt;
Game Design Track - Short Paper (10 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71683459/fairer-chess-a-reversal-of-two"&gt;&lt;img src="http://video.itu.dk/64968566/71683459/e0c5f1e66e5e1a035d696f0b6fd074c4/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
            <guid>http://video.itu.dk/photo/71683459</guid>
            <pubDate>Wed, 03 Nov 2021 15:22:50 GMT</pubDate>
            <media:title> Fairer Chess: A Reversal of Two Opening Moves in Chess Creates Balance...</media:title>
            <itunes:summary>Author: Steven Brams and Mehmet Ismail.
Title: Fairer Chess: A Reversal of Two Opening Moves in Chess Creates Balance Between White and Black.
Game Design Track - Short Paper (10 min) - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: Steven Brams and Mehmet Ismail.
Title: Fairer Chess: A Reversal of Two Opening Moves in Chess Creates Balance Between White and Black.
Game Design Track - Short Paper (10 min) - IEEE Conference on Games 2021</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>10:34</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: Steven Brams and Mehmet Ismail.&lt;br /&gt;
Title: Fairer Chess: A Reversal of Two Opening Moves in Chess Creates Balance Between White and Black.&lt;br /&gt;
Game Design Track - Short Paper (10 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71683459/fairer-chess-a-reversal-of-two"&gt;&lt;img src="http://video.itu.dk/64968566/71683459/e0c5f1e66e5e1a035d696f0b6fd074c4/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
            <media:content url="https://video.itu.dk/v.ihtml/player.html?token=e0c5f1e66e5e1a035d696f0b6fd074c4&amp;source=podcast&amp;photo%5fid=71683459" width="625" height="351" type="text/html" medium="video" duration="634" isDefault="true" expression="full"/>
            <media:thumbnail url="http://video.itu.dk/64968566/71683459/e0c5f1e66e5e1a035d696f0b6fd074c4/standard/download-8-thumbnail.jpg" width="75" height=""/>
            <itunes:image href="http://video.itu.dk/64968566/71683459/e0c5f1e66e5e1a035d696f0b6fd074c4/standard/download-8-thumbnail.jpg/thumbnail.jpg"/>
            <category>2021</category>
            <category>balance</category>
            <category>brams</category>
            <category>chess</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>ismail</category>
        </item>
        <item>
            <enclosure url="http://video.itu.dk/64968568/71683529/b34291bf884c8be29ec21cb4b27a1483/video_hd/effect-of-input-output-randomness-video.mp4?source=podcast" type="video/mp4" length="18250426"/>
            <title>Effect of Input-output Randomness on Gameplay Satisfaction in Collectable...</title>
            <link>http://video.itu.dk/photo/71683529/effect-of-input-output-randomness</link>
            <description>&lt;p&gt;Author: Yiwen Zhang, Diego Monteiro, Hai-Ning Liang, Jieming Ma and Nilufar Baghaei.&lt;br /&gt;
Title: Effect of Input-output Randomness on Gameplay Satisfaction in Collectable Card Games.&lt;br /&gt;
Game Design Track - Short Paper (10 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71683529/effect-of-input-output-randomness"&gt;&lt;img src="http://video.itu.dk/64968568/71683529/b34291bf884c8be29ec21cb4b27a1483/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
            <guid>http://video.itu.dk/photo/71683529</guid>
            <pubDate>Wed, 03 Nov 2021 15:22:50 GMT</pubDate>
            <media:title>Effect of Input-output Randomness on Gameplay Satisfaction in Collectable...</media:title>
            <itunes:summary>Author: Yiwen Zhang, Diego Monteiro, Hai-Ning Liang, Jieming Ma and Nilufar Baghaei.
Title: Effect of Input-output Randomness on Gameplay Satisfaction in Collectable Card Games.
Game Design Track - Short Paper (10 min) - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: Yiwen Zhang, Diego Monteiro, Hai-Ning Liang, Jieming Ma and Nilufar Baghaei.
Title: Effect of Input-output Randomness on Gameplay Satisfaction in Collectable Card Games.
Game Design Track - Short Paper (10 min) - IEEE Conference on Games 2021</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>10:36</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: Yiwen Zhang, Diego Monteiro, Hai-Ning Liang, Jieming Ma and Nilufar Baghaei.&lt;br /&gt;
Title: Effect of Input-output Randomness on Gameplay Satisfaction in Collectable Card Games.&lt;br /&gt;
Game Design Track - Short Paper (10 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71683529/effect-of-input-output-randomness"&gt;&lt;img src="http://video.itu.dk/64968568/71683529/b34291bf884c8be29ec21cb4b27a1483/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
            <media:content url="https://video.itu.dk/v.ihtml/player.html?token=b34291bf884c8be29ec21cb4b27a1483&amp;source=podcast&amp;photo%5fid=71683529" width="625" height="351" type="text/html" medium="video" duration="636" isDefault="true" expression="full"/>
            <media:thumbnail url="http://video.itu.dk/64968568/71683529/b34291bf884c8be29ec21cb4b27a1483/standard/download-8-thumbnail.jpg" width="75" height=""/>
            <itunes:image href="http://video.itu.dk/64968568/71683529/b34291bf884c8be29ec21cb4b27a1483/standard/download-8-thumbnail.jpg/thumbnail.jpg"/>
            <category>2021</category>
            <category>baghaei</category>
            <category>card</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>liang</category>
            <category>ma</category>
            <category>monteiro</category>
            <category>randomness</category>
            <category>satisfaction</category>
            <category>zhang</category>
        </item>
        <item>
            <enclosure url="http://video.itu.dk/64968560/71683657/0ff30391da864086c44b059c7ecbb5ae/video_hd/vision-based-beatmap-extraction-in-video.mp4?source=podcast" type="video/mp4" length="16453154"/>
            <title>Vision-based beatmap extraction in rhythm game toward platform-aware note...</title>
            <link>http://video.itu.dk/photo/71683657/vision-based-beatmap-extraction-in</link>
            <description>&lt;p&gt;Author: Yeonghun Kim and Sunghee Choi&lt;br /&gt;
Title: Vision-based beatmap extraction in rhythm game toward platform-aware note generation.&lt;br /&gt;
Procedural Content Generation Track - Short Paper (10 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71683657/vision-based-beatmap-extraction-in"&gt;&lt;img src="http://video.itu.dk/64968560/71683657/0ff30391da864086c44b059c7ecbb5ae/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
            <guid>http://video.itu.dk/photo/71683657</guid>
            <pubDate>Wed, 03 Nov 2021 15:22:50 GMT</pubDate>
            <media:title>Vision-based beatmap extraction in rhythm game toward platform-aware note...</media:title>
            <itunes:summary>Author: Yeonghun Kim and Sunghee Choi
Title: Vision-based beatmap extraction in rhythm game toward platform-aware note generation.
Procedural Content Generation Track - Short Paper (10 min) - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: Yeonghun Kim and Sunghee Choi
Title: Vision-based beatmap extraction in rhythm game toward platform-aware note generation.
Procedural Content Generation Track - Short Paper (10 min) - IEEE Conference on Games 2021</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>07:50</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: Yeonghun Kim and Sunghee Choi&lt;br /&gt;
Title: Vision-based beatmap extraction in rhythm game toward platform-aware note generation.&lt;br /&gt;
Procedural Content Generation Track - Short Paper (10 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71683657/vision-based-beatmap-extraction-in"&gt;&lt;img src="http://video.itu.dk/64968560/71683657/0ff30391da864086c44b059c7ecbb5ae/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
            <media:content url="https://video.itu.dk/v.ihtml/player.html?token=0ff30391da864086c44b059c7ecbb5ae&amp;source=podcast&amp;photo%5fid=71683657" width="625" height="351" type="text/html" medium="video" duration="470" isDefault="true" expression="full"/>
            <media:thumbnail url="http://video.itu.dk/64968560/71683657/0ff30391da864086c44b059c7ecbb5ae/standard/download-8-thumbnail.jpg" width="75" height=""/>
            <itunes:image href="http://video.itu.dk/64968560/71683657/0ff30391da864086c44b059c7ecbb5ae/standard/download-8-thumbnail.jpg/thumbnail.jpg"/>
            <category>2021</category>
            <category>beatmap</category>
            <category>choi</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>kim</category>
            <category>rhythm</category>
            <category>vision</category>
        </item>
        <item>
            <enclosure url="http://video.itu.dk/64968559/71683669/4b89a0ee363532943dfc06b812a8da3a/video_hd/toward-automated-game-balance-a-video.mp4?source=podcast" type="video/mp4" length="29936569"/>
            <title>Toward Automated Game Balance: A Systematic Engineering Design Approach</title>
            <link>http://video.itu.dk/photo/71683669/toward-automated-game-balance-a</link>
            <description>&lt;p&gt;Author: Daniel DeLaurentis et al.&lt;br /&gt;
Title: Toward Automated Game Balance: A Systematic Engineering Design Approach.&lt;br /&gt;
Procedural Content Generation Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71683669/toward-automated-game-balance-a"&gt;&lt;img src="http://video.itu.dk/64968559/71683669/4b89a0ee363532943dfc06b812a8da3a/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
            <guid>http://video.itu.dk/photo/71683669</guid>
            <pubDate>Wed, 03 Nov 2021 15:22:50 GMT</pubDate>
            <media:title>Toward Automated Game Balance: A Systematic Engineering Design Approach</media:title>
            <itunes:summary>Author: Daniel DeLaurentis et al.
Title: Toward Automated Game Balance: A Systematic Engineering Design Approach.
Procedural Content Generation Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: Daniel DeLaurentis et al.
Title: Toward Automated Game Balance: A Systematic Engineering Design Approach.
Procedural Content Generation Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>18:46</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: Daniel DeLaurentis et al.&lt;br /&gt;
Title: Toward Automated Game Balance: A Systematic Engineering Design Approach.&lt;br /&gt;
Procedural Content Generation Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71683669/toward-automated-game-balance-a"&gt;&lt;img src="http://video.itu.dk/64968559/71683669/4b89a0ee363532943dfc06b812a8da3a/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
            <media:content url="https://video.itu.dk/v.ihtml/player.html?token=4b89a0ee363532943dfc06b812a8da3a&amp;source=podcast&amp;photo%5fid=71683669" width="625" height="351" type="text/html" medium="video" duration="1126" isDefault="true" expression="full"/>
            <media:thumbnail url="http://video.itu.dk/64968559/71683669/4b89a0ee363532943dfc06b812a8da3a/standard/download-8-thumbnail.jpg" width="75" height=""/>
            <itunes:image href="http://video.itu.dk/64968559/71683669/4b89a0ee363532943dfc06b812a8da3a/standard/download-8-thumbnail.jpg/thumbnail.jpg"/>
            <category>2021</category>
            <category>automated</category>
            <category>balance</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>DeLaurentis</category>
            <category>game</category>
        </item>
        <item>
            <enclosure url="http://video.itu.dk/64968579/71683680/1ac8d859cdc795c0b59fa3118ca11d4d/video_hd/heuristic-sampling-for-fast-video.mp4?source=podcast" type="video/mp4" length="12700561"/>
            <title>Heuristic Sampling for Fast Plausible Playouts</title>
            <link>http://video.itu.dk/photo/71683680/heuristic-sampling-for-fast</link>
            <description>&lt;p&gt;Author: Cameron Browne and Fabio Barbero.&lt;br /&gt;
Title: Heuristic Sampling for Fast Plausible Playouts.&lt;br /&gt;
Procedural Content Generation Track - Short Paper (10 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71683680/heuristic-sampling-for-fast"&gt;&lt;img src="http://video.itu.dk/64968579/71683680/1ac8d859cdc795c0b59fa3118ca11d4d/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
            <guid>http://video.itu.dk/photo/71683680</guid>
            <pubDate>Wed, 03 Nov 2021 15:22:50 GMT</pubDate>
            <media:title>Heuristic Sampling for Fast Plausible Playouts</media:title>
            <itunes:summary>Author: Cameron Browne and Fabio Barbero.
Title: Heuristic Sampling for Fast Plausible Playouts.
Procedural Content Generation Track - Short Paper (10 min) - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: Cameron Browne and Fabio Barbero.
Title: Heuristic Sampling for Fast Plausible Playouts.
Procedural Content Generation Track - Short Paper (10 min) - IEEE Conference on Games 2021</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>08:39</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: Cameron Browne and Fabio Barbero.&lt;br /&gt;
Title: Heuristic Sampling for Fast Plausible Playouts.&lt;br /&gt;
Procedural Content Generation Track - Short Paper (10 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71683680/heuristic-sampling-for-fast"&gt;&lt;img src="http://video.itu.dk/64968579/71683680/1ac8d859cdc795c0b59fa3118ca11d4d/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
            <media:content url="https://video.itu.dk/v.ihtml/player.html?token=1ac8d859cdc795c0b59fa3118ca11d4d&amp;source=podcast&amp;photo%5fid=71683680" width="625" height="351" type="text/html" medium="video" duration="519" isDefault="true" expression="full"/>
            <media:thumbnail url="http://video.itu.dk/64968579/71683680/1ac8d859cdc795c0b59fa3118ca11d4d/standard/download-8-thumbnail.jpg" width="75" height=""/>
            <itunes:image href="http://video.itu.dk/64968579/71683680/1ac8d859cdc795c0b59fa3118ca11d4d/standard/download-8-thumbnail.jpg/thumbnail.jpg"/>
            <category>2021</category>
            <category>barbero</category>
            <category>browne</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>heuristic</category>
            <category>sampling</category>
        </item>
        <item>
            <enclosure url="http://video.itu.dk/64968567/71683696/59eb9523a5c759122219fcb926b7d63d/video_hd/fast-game-content-adaptation-video.mp4?source=podcast" type="video/mp4" length="24532709"/>
            <title>Fast Game Content Adaptation Through Bayesian-based Player Modelling</title>
            <link>http://video.itu.dk/photo/71683696/fast-game-content-adaptation</link>
            <description>&lt;p&gt;Author: Miguel González-Duque, Rasmus Berg Palm and Sebastian Risi.&lt;br /&gt;
Title: Fast Game Content Adaptation Through Bayesian-based Player Modelling.&lt;br /&gt;
Procedural Content Generation Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71683696/fast-game-content-adaptation"&gt;&lt;img src="http://video.itu.dk/64968567/71683696/59eb9523a5c759122219fcb926b7d63d/standard/download-7-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
            <guid>http://video.itu.dk/photo/71683696</guid>
            <pubDate>Wed, 03 Nov 2021 15:22:50 GMT</pubDate>
            <media:title>Fast Game Content Adaptation Through Bayesian-based Player Modelling</media:title>
            <itunes:summary>Author: Miguel González-Duque, Rasmus Berg Palm and Sebastian Risi.
Title: Fast Game Content Adaptation Through Bayesian-based Player Modelling.
Procedural Content Generation Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: Miguel González-Duque, Rasmus Berg Palm and Sebastian Risi.
Title: Fast Game Content Adaptation Through Bayesian-based Player Modelling.
Procedural Content Generation Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>17:07</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: Miguel González-Duque, Rasmus Berg Palm and Sebastian Risi.&lt;br /&gt;
Title: Fast Game Content Adaptation Through Bayesian-based Player Modelling.&lt;br /&gt;
Procedural Content Generation Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71683696/fast-game-content-adaptation"&gt;&lt;img src="http://video.itu.dk/64968567/71683696/59eb9523a5c759122219fcb926b7d63d/standard/download-7-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
            <media:content url="https://video.itu.dk/v.ihtml/player.html?token=59eb9523a5c759122219fcb926b7d63d&amp;source=podcast&amp;photo%5fid=71683696" width="625" height="351" type="text/html" medium="video" duration="1027" isDefault="true" expression="full"/>
            <media:thumbnail url="http://video.itu.dk/64968567/71683696/59eb9523a5c759122219fcb926b7d63d/standard/download-7-thumbnail.jpg" width="75" height=""/>
            <itunes:image href="http://video.itu.dk/64968567/71683696/59eb9523a5c759122219fcb926b7d63d/standard/download-7-thumbnail.jpg/thumbnail.jpg"/>
            <category>2021</category>
            <category>bayesian</category>
            <category>Berg</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>González-Duque</category>
            <category>modelling</category>
            <category>risi</category>
        </item>
        <item>
            <enclosure url="http://video.itu.dk/64968580/71683740/bc7af32d5ba7fc85270d761f353a0b28/video_hd/experience-driven-pcg-via-video.mp4?source=podcast" type="video/mp4" length="31727852"/>
            <title>Experience-Driven PCG via Reinforcement Learning: A Super Mario Bros Study</title>
            <link>http://video.itu.dk/photo/71683740/experience-driven-pcg-via</link>
            <description>&lt;p&gt;Author: Tianye Shu, Jialin Liu and Georgios N. Yannakakis.&lt;br /&gt;
Title: Experience-Driven PCG via Reinforcement Learning: A Super Mario Bros Study.&lt;br /&gt;
Procedural Content Generation Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71683740/experience-driven-pcg-via"&gt;&lt;img src="http://video.itu.dk/64968580/71683740/bc7af32d5ba7fc85270d761f353a0b28/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
            <guid>http://video.itu.dk/photo/71683740</guid>
            <pubDate>Wed, 03 Nov 2021 15:22:50 GMT</pubDate>
            <media:title>Experience-Driven PCG via Reinforcement Learning: A Super Mario Bros Study</media:title>
            <itunes:summary>Author: Tianye Shu, Jialin Liu and Georgios N. Yannakakis.
Title: Experience-Driven PCG via Reinforcement Learning: A Super Mario Bros Study.
Procedural Content Generation Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: Tianye Shu, Jialin Liu and Georgios N. Yannakakis.
Title: Experience-Driven PCG via Reinforcement Learning: A Super Mario Bros Study.
Procedural Content Generation Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>19:10</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: Tianye Shu, Jialin Liu and Georgios N. Yannakakis.&lt;br /&gt;
Title: Experience-Driven PCG via Reinforcement Learning: A Super Mario Bros Study.&lt;br /&gt;
Procedural Content Generation Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71683740/experience-driven-pcg-via"&gt;&lt;img src="http://video.itu.dk/64968580/71683740/bc7af32d5ba7fc85270d761f353a0b28/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
            <media:content url="https://video.itu.dk/v.ihtml/player.html?token=bc7af32d5ba7fc85270d761f353a0b28&amp;source=podcast&amp;photo%5fid=71683740" width="625" height="351" type="text/html" medium="video" duration="1150" isDefault="true" expression="full"/>
            <media:thumbnail url="http://video.itu.dk/64968580/71683740/bc7af32d5ba7fc85270d761f353a0b28/standard/download-8-thumbnail.jpg" width="75" height=""/>
            <itunes:image href="http://video.itu.dk/64968580/71683740/bc7af32d5ba7fc85270d761f353a0b28/standard/download-8-thumbnail.jpg/thumbnail.jpg"/>
            <category>2021</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>learning</category>
            <category>liu</category>
            <category>pcg</category>
            <category>reinforcement</category>
            <category>shu</category>
            <category>yannakakis</category>
        </item>
        <item>
            <enclosure url="http://video.itu.dk/64968558/71683766/54e1b14833881919fa811b67aa8fcf3f/video_hd/lode-encoder-ai-constrained-video.mp4?source=podcast" type="video/mp4" length="26802396"/>
            <title>Lode Encoder: AI-constrained co-creativity</title>
            <link>http://video.itu.dk/photo/71683766/lode-encoder-ai-constrained</link>
            <description>&lt;p&gt;Author: Debosmita Bhaumik, Ahmed Khalifa and Julian Togelius.&lt;br /&gt;
Title: Lode Encoder: AI-constrained co-creativity.&lt;br /&gt;
Procedural Content Generation Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71683766/lode-encoder-ai-constrained"&gt;&lt;img src="http://video.itu.dk/64968558/71683766/54e1b14833881919fa811b67aa8fcf3f/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
            <guid>http://video.itu.dk/photo/71683766</guid>
            <pubDate>Wed, 03 Nov 2021 15:22:50 GMT</pubDate>
            <media:title>Lode Encoder: AI-constrained co-creativity</media:title>
            <itunes:summary>Author: Debosmita Bhaumik, Ahmed Khalifa and Julian Togelius.
Title: Lode Encoder: AI-constrained co-creativity.
Procedural Content Generation Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: Debosmita Bhaumik, Ahmed Khalifa and Julian Togelius.
Title: Lode Encoder: AI-constrained co-creativity.
Procedural Content Generation Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>19:16</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: Debosmita Bhaumik, Ahmed Khalifa and Julian Togelius.&lt;br /&gt;
Title: Lode Encoder: AI-constrained co-creativity.&lt;br /&gt;
Procedural Content Generation Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71683766/lode-encoder-ai-constrained"&gt;&lt;img src="http://video.itu.dk/64968558/71683766/54e1b14833881919fa811b67aa8fcf3f/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
            <media:content url="https://video.itu.dk/v.ihtml/player.html?token=54e1b14833881919fa811b67aa8fcf3f&amp;source=podcast&amp;photo%5fid=71683766" width="625" height="351" type="text/html" medium="video" duration="1156" isDefault="true" expression="full"/>
            <media:thumbnail url="http://video.itu.dk/64968558/71683766/54e1b14833881919fa811b67aa8fcf3f/standard/download-8-thumbnail.jpg" width="75" height=""/>
            <itunes:image href="http://video.itu.dk/64968558/71683766/54e1b14833881919fa811b67aa8fcf3f/standard/download-8-thumbnail.jpg/thumbnail.jpg"/>
            <category>2021</category>
            <category>ai</category>
            <category>bhaumik</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>creativity</category>
            <category>khalifa</category>
            <category>togelius</category>
        </item>
        <item>
            <enclosure url="http://video.itu.dk/64968576/71683783/c67aeca46903acda06b78e6b590eaa9a/video_hd/adversarial-behaviour-debugging-in-video.mp4?source=podcast" type="video/mp4" length="30235967"/>
            <title>Adversarial Behaviour Debugging in a Two Button Fighting Game</title>
            <link>http://video.itu.dk/photo/71683783/adversarial-behaviour-debugging-in</link>
            <description>&lt;p&gt;Author: Nathan John-McDougall and Jeremy Gow.&lt;br /&gt;
Title: Adversarial Behaviour Debugging in a Two Button Fighting Game.&lt;br /&gt;
Procedural Content Generation Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71683783/adversarial-behaviour-debugging-in"&gt;&lt;img src="http://video.itu.dk/64968576/71683783/c67aeca46903acda06b78e6b590eaa9a/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
            <guid>http://video.itu.dk/photo/71683783</guid>
            <pubDate>Wed, 03 Nov 2021 15:22:50 GMT</pubDate>
            <media:title>Adversarial Behaviour Debugging in a Two Button Fighting Game</media:title>
            <itunes:summary>Author: Nathan John-McDougall and Jeremy Gow.
Title: Adversarial Behaviour Debugging in a Two Button Fighting Game.
Procedural Content Generation Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: Nathan John-McDougall and Jeremy Gow.
Title: Adversarial Behaviour Debugging in a Two Button Fighting Game.
Procedural Content Generation Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>19:13</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: Nathan John-McDougall and Jeremy Gow.&lt;br /&gt;
Title: Adversarial Behaviour Debugging in a Two Button Fighting Game.&lt;br /&gt;
Procedural Content Generation Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71683783/adversarial-behaviour-debugging-in"&gt;&lt;img src="http://video.itu.dk/64968576/71683783/c67aeca46903acda06b78e6b590eaa9a/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
            <media:content url="https://video.itu.dk/v.ihtml/player.html?token=c67aeca46903acda06b78e6b590eaa9a&amp;source=podcast&amp;photo%5fid=71683783" width="625" height="351" type="text/html" medium="video" duration="1153" isDefault="true" expression="full"/>
            <media:thumbnail url="http://video.itu.dk/64968576/71683783/c67aeca46903acda06b78e6b590eaa9a/standard/download-8-thumbnail.jpg" width="75" height=""/>
            <itunes:image href="http://video.itu.dk/64968576/71683783/c67aeca46903acda06b78e6b590eaa9a/standard/download-8-thumbnail.jpg/thumbnail.jpg"/>
            <category>2021</category>
            <category>behaviour</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>debug</category>
            <category>gow</category>
            <category>John-McDougall</category>
        </item>
        <item>
            <enclosure url="http://video.itu.dk/64968580/71683811/19d46385b4b5a6b1d149cc00dc4b7a0c/video_hd/deceptive-level-generation-for-video.mp4?source=podcast" type="video/mp4" length="29365899"/>
            <title>Deceptive Level Generation for Angry Birds</title>
            <link>http://video.itu.dk/photo/71683811/deceptive-level-generation-for</link>
            <description>&lt;p&gt;Author: Chathura Gamage, Matthew Stephenson, Vimukthini Pinto and Jochen Renz.&lt;br /&gt;
Title: Deceptive Level Generation for Angry Birds.&lt;br /&gt;
Procedural Content Generation Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71683811/deceptive-level-generation-for"&gt;&lt;img src="http://video.itu.dk/64968580/71683811/19d46385b4b5a6b1d149cc00dc4b7a0c/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
            <guid>http://video.itu.dk/photo/71683811</guid>
            <pubDate>Wed, 03 Nov 2021 15:22:50 GMT</pubDate>
            <media:title>Deceptive Level Generation for Angry Birds</media:title>
            <itunes:summary>Author: Chathura Gamage, Matthew Stephenson, Vimukthini Pinto and Jochen Renz.
Title: Deceptive Level Generation for Angry Birds.
Procedural Content Generation Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: Chathura Gamage, Matthew Stephenson, Vimukthini Pinto and Jochen Renz.
Title: Deceptive Level Generation for Angry Birds.
Procedural Content Generation Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>19:43</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: Chathura Gamage, Matthew Stephenson, Vimukthini Pinto and Jochen Renz.&lt;br /&gt;
Title: Deceptive Level Generation for Angry Birds.&lt;br /&gt;
Procedural Content Generation Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71683811/deceptive-level-generation-for"&gt;&lt;img src="http://video.itu.dk/64968580/71683811/19d46385b4b5a6b1d149cc00dc4b7a0c/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
            <media:content url="https://video.itu.dk/v.ihtml/player.html?token=19d46385b4b5a6b1d149cc00dc4b7a0c&amp;source=podcast&amp;photo%5fid=71683811" width="625" height="351" type="text/html" medium="video" duration="1183" isDefault="true" expression="full"/>
            <media:thumbnail url="http://video.itu.dk/64968580/71683811/19d46385b4b5a6b1d149cc00dc4b7a0c/standard/download-8-thumbnail.jpg" width="75" height=""/>
            <itunes:image href="http://video.itu.dk/64968580/71683811/19d46385b4b5a6b1d149cc00dc4b7a0c/standard/download-8-thumbnail.jpg/thumbnail.jpg"/>
            <category>2021</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>gamage</category>
            <category>generation</category>
            <category>level</category>
            <category>pinto</category>
            <category>renz</category>
            <category>stephenson</category>
        </item>
        <item>
            <enclosure url="http://video.itu.dk/64968580/71683845/d7f747213ac42a6bb399d903ea35805d/video_hd/keiki-towards-realistic-danmaku-video.mp4?source=podcast" type="video/mp4" length="18922465"/>
            <title>Keiki: Towards Realistic Danmaku Generation via Sequential Generative...</title>
            <link>http://video.itu.dk/photo/71683845/keiki-towards-realistic-danmaku</link>
            <description>&lt;p&gt;Author: Ziqi Wang, Jialin Liu and Georgios N. Yannakakis.&lt;br /&gt;
Title: Keiki: Towards Realistic Danmaku Generation via Sequential Generative Adversarial Nets.&lt;br /&gt;
Procedural Content Generation Track - Short Paper (10 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71683845/keiki-towards-realistic-danmaku"&gt;&lt;img src="http://video.itu.dk/64968580/71683845/d7f747213ac42a6bb399d903ea35805d/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
            <guid>http://video.itu.dk/photo/71683845</guid>
            <pubDate>Wed, 03 Nov 2021 15:22:50 GMT</pubDate>
            <media:title>Keiki: Towards Realistic Danmaku Generation via Sequential Generative...</media:title>
            <itunes:summary>Author: Ziqi Wang, Jialin Liu and Georgios N. Yannakakis.
Title: Keiki: Towards Realistic Danmaku Generation via Sequential Generative Adversarial Nets.
Procedural Content Generation Track - Short Paper (10 min) - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: Ziqi Wang, Jialin Liu and Georgios N. Yannakakis.
Title: Keiki: Towards Realistic Danmaku Generation via Sequential Generative Adversarial Nets.
Procedural Content Generation Track - Short Paper (10 min) - IEEE Conference on Games 2021</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>10:16</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: Ziqi Wang, Jialin Liu and Georgios N. Yannakakis.&lt;br /&gt;
Title: Keiki: Towards Realistic Danmaku Generation via Sequential Generative Adversarial Nets.&lt;br /&gt;
Procedural Content Generation Track - Short Paper (10 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71683845/keiki-towards-realistic-danmaku"&gt;&lt;img src="http://video.itu.dk/64968580/71683845/d7f747213ac42a6bb399d903ea35805d/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
            <media:content url="https://video.itu.dk/v.ihtml/player.html?token=d7f747213ac42a6bb399d903ea35805d&amp;source=podcast&amp;photo%5fid=71683845" width="625" height="351" type="text/html" medium="video" duration="616" isDefault="true" expression="full"/>
            <media:thumbnail url="http://video.itu.dk/64968580/71683845/d7f747213ac42a6bb399d903ea35805d/standard/download-8-thumbnail.jpg" width="75" height=""/>
            <itunes:image href="http://video.itu.dk/64968580/71683845/d7f747213ac42a6bb399d903ea35805d/standard/download-8-thumbnail.jpg/thumbnail.jpg"/>
            <category>2021</category>
            <category>Adversarial</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>dabmaku</category>
            <category>Generative</category>
            <category>liu</category>
            <category>Nets</category>
            <category>Sequential</category>
            <category>wang</category>
            <category>Yannakakis</category>
        </item>
        <item>
            <enclosure url="http://video.itu.dk/64968578/71683904/a04e68c232476a8e99e37d07f172fb6e/video_hd/the-heros-dilemma-survival-video.mp4?source=podcast" type="video/mp4" length="26241453"/>
            <title>The Hero's Dilemma: Survival Advantages of Intention Perception in Virtual...</title>
            <link>http://video.itu.dk/photo/71683904/the-heros-dilemma-survival</link>
            <description>&lt;p&gt;Author: Amani Maina-Kilaas, George Montañez, Cynthia Hom, Kevin Ginta and Cindy Lay.&lt;br /&gt;
Title: The Hero's Dilemma: Survival Advantages of Intention Perception in Virtual Agent Games.&lt;br /&gt;
Game Theory Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71683904/the-heros-dilemma-survival"&gt;&lt;img src="http://video.itu.dk/64968578/71683904/a04e68c232476a8e99e37d07f172fb6e/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
            <guid>http://video.itu.dk/photo/71683904</guid>
            <pubDate>Wed, 03 Nov 2021 15:22:50 GMT</pubDate>
            <media:title>The Hero's Dilemma: Survival Advantages of Intention Perception in Virtual...</media:title>
            <itunes:summary>Author: Amani Maina-Kilaas, George Montañez, Cynthia Hom, Kevin Ginta and Cindy Lay.
Title: The Hero's Dilemma: Survival Advantages of Intention Perception in Virtual Agent Games.
Game Theory Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: Amani Maina-Kilaas, George Montañez, Cynthia Hom, Kevin Ginta and Cindy Lay.
Title: The Hero's Dilemma: Survival Advantages of Intention Perception in Virtual Agent Games.
Game Theory Track - Long Paper (20 min) - IEEE Conference on Games...</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>19:47</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: Amani Maina-Kilaas, George Montañez, Cynthia Hom, Kevin Ginta and Cindy Lay.&lt;br /&gt;
Title: The Hero's Dilemma: Survival Advantages of Intention Perception in Virtual Agent Games.&lt;br /&gt;
Game Theory Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71683904/the-heros-dilemma-survival"&gt;&lt;img src="http://video.itu.dk/64968578/71683904/a04e68c232476a8e99e37d07f172fb6e/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
            <media:content url="https://video.itu.dk/v.ihtml/player.html?token=a04e68c232476a8e99e37d07f172fb6e&amp;source=podcast&amp;photo%5fid=71683904" width="625" height="351" type="text/html" medium="video" duration="1187" isDefault="true" expression="full"/>
            <media:thumbnail url="http://video.itu.dk/64968578/71683904/a04e68c232476a8e99e37d07f172fb6e/standard/download-8-thumbnail.jpg" width="75" height=""/>
            <itunes:image href="http://video.itu.dk/64968578/71683904/a04e68c232476a8e99e37d07f172fb6e/standard/download-8-thumbnail.jpg/thumbnail.jpg"/>
            <category>2021</category>
            <category>agents</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>Ginta</category>
            <category>Hom</category>
            <category>Lay</category>
            <category>Maina-Kilaas</category>
            <category>Montañez</category>
            <category>perception</category>
            <category>virtual</category>
        </item>
        <item>
            <enclosure url="http://video.itu.dk/64968556/71683922/1ffcba3115ad7f303fdfaf07e1f83d37/video_hd/finding-an-equilibrium-in-the-video.mp4?source=podcast" type="video/mp4" length="23607268"/>
            <title>Finding an Equilibrium in the Traveler’s Dilemma with Fuzzy Weak Domination</title>
            <link>http://video.itu.dk/photo/71683922/finding-an-equilibrium-in-the</link>
            <description>&lt;p&gt;Author: Jesse Roberts.&lt;br /&gt;
Title: Finding an Equilibrium in the Traveler’s Dilemma with Fuzzy Weak Domination.&lt;br /&gt;
Game Theory Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71683922/finding-an-equilibrium-in-the"&gt;&lt;img src="http://video.itu.dk/64968556/71683922/1ffcba3115ad7f303fdfaf07e1f83d37/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
            <guid>http://video.itu.dk/photo/71683922</guid>
            <pubDate>Wed, 03 Nov 2021 15:22:50 GMT</pubDate>
            <media:title>Finding an Equilibrium in the Traveler’s Dilemma with Fuzzy Weak Domination</media:title>
            <itunes:summary>Author: Jesse Roberts.
Title: Finding an Equilibrium in the Traveler’s Dilemma with Fuzzy Weak Domination.
Game Theory Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: Jesse Roberts.
Title: Finding an Equilibrium in the Traveler’s Dilemma with Fuzzy Weak Domination.
Game Theory Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>18:11</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: Jesse Roberts.&lt;br /&gt;
Title: Finding an Equilibrium in the Traveler’s Dilemma with Fuzzy Weak Domination.&lt;br /&gt;
Game Theory Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71683922/finding-an-equilibrium-in-the"&gt;&lt;img src="http://video.itu.dk/64968556/71683922/1ffcba3115ad7f303fdfaf07e1f83d37/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
            <media:content url="https://video.itu.dk/v.ihtml/player.html?token=1ffcba3115ad7f303fdfaf07e1f83d37&amp;source=podcast&amp;photo%5fid=71683922" width="625" height="351" type="text/html" medium="video" duration="1091" isDefault="true" expression="full"/>
            <media:thumbnail url="http://video.itu.dk/64968556/71683922/1ffcba3115ad7f303fdfaf07e1f83d37/standard/download-8-thumbnail.jpg" width="75" height=""/>
            <itunes:image href="http://video.itu.dk/64968556/71683922/1ffcba3115ad7f303fdfaf07e1f83d37/standard/download-8-thumbnail.jpg/thumbnail.jpg"/>
            <category>2021</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>dilemma</category>
            <category>domination</category>
            <category>fuzzy</category>
            <category>roberts</category>
            <category>traveler</category>
        </item>
        <item>
            <enclosure url="http://video.itu.dk/64968561/71683945/b9a7957ce815bfce1f9309964b7d649c/video_hd/representational-sensitivity-for-video.mp4?source=podcast" type="video/mp4" length="32806836"/>
            <title>Representational Sensitivity for Divide the Dollar Playing Agents</title>
            <link>http://video.itu.dk/photo/71683945/representational-sensitivity-for</link>
            <description>&lt;p&gt;Author: Daniel Ashlock and Andrew Dong.&lt;br /&gt;
Title: Representational Sensitivity for Divide the Dollar Playing Agents.&lt;br /&gt;
Game Theory Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71683945/representational-sensitivity-for"&gt;&lt;img src="http://video.itu.dk/64968561/71683945/b9a7957ce815bfce1f9309964b7d649c/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
            <guid>http://video.itu.dk/photo/71683945</guid>
            <pubDate>Wed, 03 Nov 2021 15:22:50 GMT</pubDate>
            <media:title>Representational Sensitivity for Divide the Dollar Playing Agents</media:title>
            <itunes:summary>Author: Daniel Ashlock and Andrew Dong.
Title: Representational Sensitivity for Divide the Dollar Playing Agents.
Game Theory Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: Daniel Ashlock and Andrew Dong.
Title: Representational Sensitivity for Divide the Dollar Playing Agents.
Game Theory Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>18:47</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: Daniel Ashlock and Andrew Dong.&lt;br /&gt;
Title: Representational Sensitivity for Divide the Dollar Playing Agents.&lt;br /&gt;
Game Theory Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71683945/representational-sensitivity-for"&gt;&lt;img src="http://video.itu.dk/64968561/71683945/b9a7957ce815bfce1f9309964b7d649c/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
            <media:content url="https://video.itu.dk/v.ihtml/player.html?token=b9a7957ce815bfce1f9309964b7d649c&amp;source=podcast&amp;photo%5fid=71683945" width="625" height="351" type="text/html" medium="video" duration="1127" isDefault="true" expression="full"/>
            <media:thumbnail url="http://video.itu.dk/64968561/71683945/b9a7957ce815bfce1f9309964b7d649c/standard/download-8-thumbnail.jpg" width="75" height=""/>
            <itunes:image href="http://video.itu.dk/64968561/71683945/b9a7957ce815bfce1f9309964b7d649c/standard/download-8-thumbnail.jpg/thumbnail.jpg"/>
            <category>2021</category>
            <category>ashlock</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>dollar</category>
            <category>dong</category>
            <category>representational</category>
            <category>sensitivity</category>
        </item>
        <item>
            <enclosure url="http://video.itu.dk/64968570/71683955/7b7cca875d705df5ad03b172c483da74/video_hd/team-counter-selection-games-video.mp4?source=podcast" type="video/mp4" length="30673562"/>
            <title>Team Counter-Selection Games</title>
            <link>http://video.itu.dk/photo/71683955/team-counter-selection-games</link>
            <description>&lt;p&gt;Author: Dawson Crane, Zachary Holmes, Taylor Kosiara, Michael Nickels and Matthew Spradling.&lt;br /&gt;
Title: Team Counter-Selection Games.&lt;br /&gt;
Game Theory Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71683955/team-counter-selection-games"&gt;&lt;img src="http://video.itu.dk/64968570/71683955/7b7cca875d705df5ad03b172c483da74/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
            <guid>http://video.itu.dk/photo/71683955</guid>
            <pubDate>Wed, 03 Nov 2021 15:22:50 GMT</pubDate>
            <media:title>Team Counter-Selection Games</media:title>
            <itunes:summary>Author: Dawson Crane, Zachary Holmes, Taylor Kosiara, Michael Nickels and Matthew Spradling.
Title: Team Counter-Selection Games.
Game Theory Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: Dawson Crane, Zachary Holmes, Taylor Kosiara, Michael Nickels and Matthew Spradling.
Title: Team Counter-Selection Games.
Game Theory Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>20:29</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: Dawson Crane, Zachary Holmes, Taylor Kosiara, Michael Nickels and Matthew Spradling.&lt;br /&gt;
Title: Team Counter-Selection Games.&lt;br /&gt;
Game Theory Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71683955/team-counter-selection-games"&gt;&lt;img src="http://video.itu.dk/64968570/71683955/7b7cca875d705df5ad03b172c483da74/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
            <media:content url="https://video.itu.dk/v.ihtml/player.html?token=7b7cca875d705df5ad03b172c483da74&amp;source=podcast&amp;photo%5fid=71683955" width="625" height="351" type="text/html" medium="video" duration="1229" isDefault="true" expression="full"/>
            <media:thumbnail url="http://video.itu.dk/64968570/71683955/7b7cca875d705df5ad03b172c483da74/standard/download-8-thumbnail.jpg" width="75" height=""/>
            <itunes:image href="http://video.itu.dk/64968570/71683955/7b7cca875d705df5ad03b172c483da74/standard/download-8-thumbnail.jpg/thumbnail.jpg"/>
            <category>2021</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>counter</category>
            <category>crane</category>
            <category>holmes</category>
            <category>kosiara</category>
            <category>nickels</category>
            <category>selection</category>
            <category>spradling</category>
        </item>
        <item>
            <enclosure url="http://video.itu.dk/64968558/71683982/83c302cee6f1c3477518fc282afc83e1/video_hd/novelty-generation-framework-for-ai-video.mp4?source=podcast" type="video/mp4" length="28430305"/>
            <title>Novelty Generation Framework for AI Agents in Angry Birds Style Physics Games</title>
            <link>http://video.itu.dk/photo/71683982/novelty-generation-framework-for-ai</link>
            <description>&lt;p&gt;Author: Chathura Gamage, Vimukthini Pinto, Cheng Xue, Matthew Stephenson, Peng Zhang and Jochen Renz.&lt;br /&gt;
Title: Novelty Generation Framework for AI Agents in Angry Birds Style Physics Games.&lt;br /&gt;
Procedural Content Generation Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71683982/novelty-generation-framework-for-ai"&gt;&lt;img src="http://video.itu.dk/64968558/71683982/83c302cee6f1c3477518fc282afc83e1/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
            <guid>http://video.itu.dk/photo/71683982</guid>
            <pubDate>Wed, 03 Nov 2021 15:22:50 GMT</pubDate>
            <media:title>Novelty Generation Framework for AI Agents in Angry Birds Style Physics Games</media:title>
            <itunes:summary>Author: Chathura Gamage, Vimukthini Pinto, Cheng Xue, Matthew Stephenson, Peng Zhang and Jochen Renz.
Title: Novelty Generation Framework for AI Agents in Angry Birds Style Physics Games.
Procedural Content Generation Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: Chathura Gamage, Vimukthini Pinto, Cheng Xue, Matthew Stephenson, Peng Zhang and Jochen Renz.
Title: Novelty Generation Framework for AI Agents in Angry Birds Style Physics Games.
Procedural Content Generation Track - Long Paper (20 min) -...</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>18:37</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: Chathura Gamage, Vimukthini Pinto, Cheng Xue, Matthew Stephenson, Peng Zhang and Jochen Renz.&lt;br /&gt;
Title: Novelty Generation Framework for AI Agents in Angry Birds Style Physics Games.&lt;br /&gt;
Procedural Content Generation Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71683982/novelty-generation-framework-for-ai"&gt;&lt;img src="http://video.itu.dk/64968558/71683982/83c302cee6f1c3477518fc282afc83e1/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
            <media:content url="https://video.itu.dk/v.ihtml/player.html?token=83c302cee6f1c3477518fc282afc83e1&amp;source=podcast&amp;photo%5fid=71683982" width="625" height="351" type="text/html" medium="video" duration="1117" isDefault="true" expression="full"/>
            <media:thumbnail url="http://video.itu.dk/64968558/71683982/83c302cee6f1c3477518fc282afc83e1/standard/download-8-thumbnail.jpg" width="75" height=""/>
            <itunes:image href="http://video.itu.dk/64968558/71683982/83c302cee6f1c3477518fc282afc83e1/standard/download-8-thumbnail.jpg/thumbnail.jpg"/>
            <category>2021</category>
            <category>ai</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>gamage</category>
            <category>novelty</category>
            <category>physics</category>
            <category>pinto</category>
            <category>renz</category>
            <category>stephenson</category>
            <category>xue</category>
            <category>zhang</category>
        </item>
        <item>
            <enclosure url="http://video.itu.dk/64968575/71684003/2c50c0ea4921161a7e565be30e0f5e3a/video_hd/learning-controllable-content-video.mp4?source=podcast" type="video/mp4" length="33565365"/>
            <title>Learning Controllable Content Generators</title>
            <link>http://video.itu.dk/photo/71684003/learning-controllable-content</link>
            <description>&lt;p&gt;Author: Sam Earle, Maria Edwards, Ahmed Khalifa, Philip Bontrager and Julian Togelius.&lt;br /&gt;
Title: Learning Controllable Content Generators.&lt;br /&gt;
Procedural Content Generation Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71684003/learning-controllable-content"&gt;&lt;img src="http://video.itu.dk/64968575/71684003/2c50c0ea4921161a7e565be30e0f5e3a/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
            <guid>http://video.itu.dk/photo/71684003</guid>
            <pubDate>Wed, 03 Nov 2021 15:22:50 GMT</pubDate>
            <media:title>Learning Controllable Content Generators</media:title>
            <itunes:summary>Author: Sam Earle, Maria Edwards, Ahmed Khalifa, Philip Bontrager and Julian Togelius.
Title: Learning Controllable Content Generators.
Procedural Content Generation Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: Sam Earle, Maria Edwards, Ahmed Khalifa, Philip Bontrager and Julian Togelius.
Title: Learning Controllable Content Generators.
Procedural Content Generation Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>19:08</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: Sam Earle, Maria Edwards, Ahmed Khalifa, Philip Bontrager and Julian Togelius.&lt;br /&gt;
Title: Learning Controllable Content Generators.&lt;br /&gt;
Procedural Content Generation Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71684003/learning-controllable-content"&gt;&lt;img src="http://video.itu.dk/64968575/71684003/2c50c0ea4921161a7e565be30e0f5e3a/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
            <media:content url="https://video.itu.dk/v.ihtml/player.html?token=2c50c0ea4921161a7e565be30e0f5e3a&amp;source=podcast&amp;photo%5fid=71684003" width="625" height="351" type="text/html" medium="video" duration="1148" isDefault="true" expression="full"/>
            <media:thumbnail url="http://video.itu.dk/64968575/71684003/2c50c0ea4921161a7e565be30e0f5e3a/standard/download-8-thumbnail.jpg" width="75" height=""/>
            <itunes:image href="http://video.itu.dk/64968575/71684003/2c50c0ea4921161a7e565be30e0f5e3a/standard/download-8-thumbnail.jpg/thumbnail.jpg"/>
            <category>2021</category>
            <category>bontrager</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>earle</category>
            <category>edwards</category>
            <category>generator</category>
            <category>khalifa</category>
            <category>learning</category>
            <category>togelius</category>
        </item>
        <item>
            <enclosure url="http://video.itu.dk/64968560/71684020/f36001bd6177301daf0996bbbc95c7bc/video_hd/grail-framework-a-paradigm-shift-video.mp4?source=podcast" type="video/mp4" length="28649560"/>
            <title>Grail framework – a paradigm shift in implementation of advanced AI in games...</title>
            <link>http://video.itu.dk/photo/71684020/grail-framework-a-paradigm-shift</link>
            <description>&lt;p&gt;Author: Piotr Biczyk and Maciej Świechowski.&lt;br /&gt;
Title: Grail framework – a paradigm shift in implementation of advanced AI in games and automated quality control.&lt;br /&gt;
Procedural Content Generation Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71684020/grail-framework-a-paradigm-shift"&gt;&lt;img src="http://video.itu.dk/64968560/71684020/f36001bd6177301daf0996bbbc95c7bc/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
            <guid>http://video.itu.dk/photo/71684020</guid>
            <pubDate>Wed, 03 Nov 2021 15:22:50 GMT</pubDate>
            <media:title>Grail framework – a paradigm shift in implementation of advanced AI in games...</media:title>
            <itunes:summary>Author: Piotr Biczyk and Maciej Świechowski.
Title: Grail framework – a paradigm shift in implementation of advanced AI in games and automated quality control.
Procedural Content Generation Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: Piotr Biczyk and Maciej Świechowski.
Title: Grail framework – a paradigm shift in implementation of advanced AI in games and automated quality control.
Procedural Content Generation Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>19:08</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: Piotr Biczyk and Maciej Świechowski.&lt;br /&gt;
Title: Grail framework – a paradigm shift in implementation of advanced AI in games and automated quality control.&lt;br /&gt;
Procedural Content Generation Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71684020/grail-framework-a-paradigm-shift"&gt;&lt;img src="http://video.itu.dk/64968560/71684020/f36001bd6177301daf0996bbbc95c7bc/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
            <media:content url="https://video.itu.dk/v.ihtml/player.html?token=f36001bd6177301daf0996bbbc95c7bc&amp;source=podcast&amp;photo%5fid=71684020" width="625" height="351" type="text/html" medium="video" duration="1148" isDefault="true" expression="full"/>
            <media:thumbnail url="http://video.itu.dk/64968560/71684020/f36001bd6177301daf0996bbbc95c7bc/standard/download-8-thumbnail.jpg" width="75" height=""/>
            <itunes:image href="http://video.itu.dk/64968560/71684020/f36001bd6177301daf0996bbbc95c7bc/standard/download-8-thumbnail.jpg/thumbnail.jpg"/>
            <category>2021</category>
            <category>ai</category>
            <category>Biczyk</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>paradigm</category>
            <category>quality</category>
            <category>shift</category>
            <category>Świechowski</category>
        </item>
        <item>
            <enclosure url="http://video.itu.dk/64968568/71684048/047257dc953bb14b59cae812108e9004/video_hd/a-genre-specific-game-description-video.mp4?source=podcast" type="video/mp4" length="29447038"/>
            <title>A Genre-Specific Game Description Language for Game Boy RPGs</title>
            <link>http://video.itu.dk/photo/71684048/a-genre-specific-game-description</link>
            <description>&lt;p&gt;Author: Tamara Duplantis, Isaac Karth, Max Kreminski, Adam M. Smith and Michael Mateas.&lt;br /&gt;
Title: A Genre-Specific Game Description Language for Game Boy RPGs.&lt;br /&gt;
Procedural Content Generation Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71684048/a-genre-specific-game-description"&gt;&lt;img src="http://video.itu.dk/64968568/71684048/047257dc953bb14b59cae812108e9004/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
            <guid>http://video.itu.dk/photo/71684048</guid>
            <pubDate>Wed, 03 Nov 2021 15:22:50 GMT</pubDate>
            <media:title>A Genre-Specific Game Description Language for Game Boy RPGs</media:title>
            <itunes:summary>Author: Tamara Duplantis, Isaac Karth, Max Kreminski, Adam M. Smith and Michael Mateas.
Title: A Genre-Specific Game Description Language for Game Boy RPGs.
Procedural Content Generation Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: Tamara Duplantis, Isaac Karth, Max Kreminski, Adam M. Smith and Michael Mateas.
Title: A Genre-Specific Game Description Language for Game Boy RPGs.
Procedural Content Generation Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>18:24</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: Tamara Duplantis, Isaac Karth, Max Kreminski, Adam M. Smith and Michael Mateas.&lt;br /&gt;
Title: A Genre-Specific Game Description Language for Game Boy RPGs.&lt;br /&gt;
Procedural Content Generation Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71684048/a-genre-specific-game-description"&gt;&lt;img src="http://video.itu.dk/64968568/71684048/047257dc953bb14b59cae812108e9004/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
            <media:content url="https://video.itu.dk/v.ihtml/player.html?token=047257dc953bb14b59cae812108e9004&amp;source=podcast&amp;photo%5fid=71684048" width="625" height="351" type="text/html" medium="video" duration="1104" isDefault="true" expression="full"/>
            <media:thumbnail url="http://video.itu.dk/64968568/71684048/047257dc953bb14b59cae812108e9004/standard/download-8-thumbnail.jpg" width="75" height=""/>
            <itunes:image href="http://video.itu.dk/64968568/71684048/047257dc953bb14b59cae812108e9004/standard/download-8-thumbnail.jpg/thumbnail.jpg"/>
            <category>2021</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>description</category>
            <category>duplantis</category>
            <category>karth</category>
            <category>kreminski</category>
            <category>language</category>
            <category>mateas</category>
            <category>smith</category>
        </item>
        <item>
            <enclosure url="http://video.itu.dk/64968580/71684083/f38a76c4cfe028dba756da3c0403de36/video_hd/learning-to-generate-levels-from-video.mp4?source=podcast" type="video/mp4" length="35739891"/>
            <title>Learning to Generate Levels From Nothing </title>
            <link>http://video.itu.dk/photo/71684083/learning-to-generate-levels-from</link>
            <description>&lt;p&gt;Author: Philip Bontrager and Julian Togelius.&lt;br /&gt;
Title: Learning to Generate Levels From Nothing.&lt;br /&gt;
Procedural Content Generation Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71684083/learning-to-generate-levels-from"&gt;&lt;img src="http://video.itu.dk/64968580/71684083/f38a76c4cfe028dba756da3c0403de36/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
            <guid>http://video.itu.dk/photo/71684083</guid>
            <pubDate>Wed, 03 Nov 2021 15:22:50 GMT</pubDate>
            <media:title>Learning to Generate Levels From Nothing </media:title>
            <itunes:summary>Author: Philip Bontrager and Julian Togelius.
Title: Learning to Generate Levels From Nothing.
Procedural Content Generation Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: Philip Bontrager and Julian Togelius.
Title: Learning to Generate Levels From Nothing.
Procedural Content Generation Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>18:39</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: Philip Bontrager and Julian Togelius.&lt;br /&gt;
Title: Learning to Generate Levels From Nothing.&lt;br /&gt;
Procedural Content Generation Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71684083/learning-to-generate-levels-from"&gt;&lt;img src="http://video.itu.dk/64968580/71684083/f38a76c4cfe028dba756da3c0403de36/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
            <media:content url="https://video.itu.dk/v.ihtml/player.html?token=f38a76c4cfe028dba756da3c0403de36&amp;source=podcast&amp;photo%5fid=71684083" width="625" height="351" type="text/html" medium="video" duration="1119" isDefault="true" expression="full"/>
            <media:thumbnail url="http://video.itu.dk/64968580/71684083/f38a76c4cfe028dba756da3c0403de36/standard/download-8-thumbnail.jpg" width="75" height=""/>
            <itunes:image href="http://video.itu.dk/64968580/71684083/f38a76c4cfe028dba756da3c0403de36/standard/download-8-thumbnail.jpg/thumbnail.jpg"/>
            <category>2021</category>
            <category>bontrager</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>togelis</category>
        </item>
        <item>
            <enclosure url="http://video.itu.dk/64968569/71684090/35f3e9e428b778b5cbb5397fd5ae632a/video_hd/dungeon-and-platformer-level-video.mp4?source=podcast" type="video/mp4" length="31472302"/>
            <title>Dungeon and Platformer Level Generation and Blending using Conditional VAEs</title>
            <link>http://video.itu.dk/photo/71684090/dungeon-and-platformer-level</link>
            <description>&lt;p&gt;Author: Anurag Sarkar and Seth Cooper.&lt;br /&gt;
Title: Dungeon and Platformer Level Generation and Blending using Conditional VAEs.&lt;br /&gt;
Procedural Content Generation Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71684090/dungeon-and-platformer-level"&gt;&lt;img src="http://video.itu.dk/64968569/71684090/35f3e9e428b778b5cbb5397fd5ae632a/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
            <guid>http://video.itu.dk/photo/71684090</guid>
            <pubDate>Wed, 03 Nov 2021 15:22:50 GMT</pubDate>
            <media:title>Dungeon and Platformer Level Generation and Blending using Conditional VAEs</media:title>
            <itunes:summary>Author: Anurag Sarkar and Seth Cooper.
Title: Dungeon and Platformer Level Generation and Blending using Conditional VAEs.
Procedural Content Generation Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: Anurag Sarkar and Seth Cooper.
Title: Dungeon and Platformer Level Generation and Blending using Conditional VAEs.
Procedural Content Generation Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>19:48</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: Anurag Sarkar and Seth Cooper.&lt;br /&gt;
Title: Dungeon and Platformer Level Generation and Blending using Conditional VAEs.&lt;br /&gt;
Procedural Content Generation Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71684090/dungeon-and-platformer-level"&gt;&lt;img src="http://video.itu.dk/64968569/71684090/35f3e9e428b778b5cbb5397fd5ae632a/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
            <media:content url="https://video.itu.dk/v.ihtml/player.html?token=35f3e9e428b778b5cbb5397fd5ae632a&amp;source=podcast&amp;photo%5fid=71684090" width="625" height="351" type="text/html" medium="video" duration="1188" isDefault="true" expression="full"/>
            <media:thumbnail url="http://video.itu.dk/64968569/71684090/35f3e9e428b778b5cbb5397fd5ae632a/standard/download-8-thumbnail.jpg" width="75" height=""/>
            <itunes:image href="http://video.itu.dk/64968569/71684090/35f3e9e428b778b5cbb5397fd5ae632a/standard/download-8-thumbnail.jpg/thumbnail.jpg"/>
            <category>2021</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>conditional</category>
            <category>cooper</category>
            <category>generation</category>
            <category>level</category>
            <category>sarkar</category>
            <category>vae</category>
        </item>
        <item>
            <enclosure url="http://video.itu.dk/64968577/71683083/a7cef23ada58a562cce984c6357cccd5/video_hd/how-the-players-get-their-spots-a-video.mp4?source=podcast" type="video/mp4" length="31432399"/>
            <title>How the Players Get Their Spots: A Study of Playstyle Emergence in Digital...</title>
            <link>http://video.itu.dk/photo/71683083/how-the-players-get-their-spots-a</link>
            <description>&lt;p&gt;Author: Milan Jaćević.&lt;br /&gt;
Title: How the Players Get Their Spots: A Study of Playstyle Emergence in Digital Games.&lt;br /&gt;
Game Design Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71683083/how-the-players-get-their-spots-a"&gt;&lt;img src="http://video.itu.dk/64968577/71683083/a7cef23ada58a562cce984c6357cccd5/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
            <guid>http://video.itu.dk/photo/71683083</guid>
            <pubDate>Wed, 03 Nov 2021 15:20:45 GMT</pubDate>
            <media:title>How the Players Get Their Spots: A Study of Playstyle Emergence in Digital...</media:title>
            <itunes:summary>Author: Milan Jaćević.
Title: How the Players Get Their Spots: A Study of Playstyle Emergence in Digital Games.
Game Design Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: Milan Jaćević.
Title: How the Players Get Their Spots: A Study of Playstyle Emergence in Digital Games.
Game Design Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>19:36</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: Milan Jaćević.&lt;br /&gt;
Title: How the Players Get Their Spots: A Study of Playstyle Emergence in Digital Games.&lt;br /&gt;
Game Design Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71683083/how-the-players-get-their-spots-a"&gt;&lt;img src="http://video.itu.dk/64968577/71683083/a7cef23ada58a562cce984c6357cccd5/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
            <media:content url="https://video.itu.dk/v.ihtml/player.html?token=a7cef23ada58a562cce984c6357cccd5&amp;source=podcast&amp;photo%5fid=71683083" width="625" height="351" type="text/html" medium="video" duration="1176" isDefault="true" expression="full"/>
            <media:thumbnail url="http://video.itu.dk/64968577/71683083/a7cef23ada58a562cce984c6357cccd5/standard/download-8-thumbnail.jpg" width="75" height=""/>
            <itunes:image href="http://video.itu.dk/64968577/71683083/a7cef23ada58a562cce984c6357cccd5/standard/download-8-thumbnail.jpg/thumbnail.jpg"/>
            <category>2021</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>emergence</category>
            <category>Jaćević</category>
        </item>
        <item>
            <enclosure url="http://video.itu.dk/64968578/71683057/afd87df034c08389e60dc0da4c4bf171/video_hd/playing-through-microaggressions-on-video.mp4?source=podcast" type="video/mp4" length="39097104"/>
            <title>Playing through Microaggressions on a College Campus with “Blindspot”</title>
            <link>http://video.itu.dk/photo/71683057/playing-through-microaggressions-on</link>
            <description>&lt;p&gt;Authors: Shengyao Xiao, Xiaoyu Cui, Yuanqin Fan, Boyuan Lu, Haiyun Wu, Michael Christel, Shirley Saldamarco and Geoff Kaufman.&lt;br /&gt;
Title: Playing through Microaggressions on a College Campus with “Blindspot”.&lt;br /&gt;
Game Design Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71683057/playing-through-microaggressions-on"&gt;&lt;img src="http://video.itu.dk/64968578/71683057/afd87df034c08389e60dc0da4c4bf171/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
            <guid>http://video.itu.dk/photo/71683057</guid>
            <pubDate>Wed, 03 Nov 2021 15:20:45 GMT</pubDate>
            <media:title>Playing through Microaggressions on a College Campus with “Blindspot”</media:title>
            <itunes:summary>Authors: Shengyao Xiao, Xiaoyu Cui, Yuanqin Fan, Boyuan Lu, Haiyun Wu, Michael Christel, Shirley Saldamarco and Geoff Kaufman.
Title: Playing through Microaggressions on a College Campus with “Blindspot”.
Game Design Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Authors: Shengyao Xiao, Xiaoyu Cui, Yuanqin Fan, Boyuan Lu, Haiyun Wu, Michael Christel, Shirley Saldamarco and Geoff Kaufman.
Title: Playing through Microaggressions on a College Campus with “Blindspot”.
Game Design Track - Long Paper (20 min) -...</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>19:42</itunes:duration>
            <media:description type="html">&lt;p&gt;Authors: Shengyao Xiao, Xiaoyu Cui, Yuanqin Fan, Boyuan Lu, Haiyun Wu, Michael Christel, Shirley Saldamarco and Geoff Kaufman.&lt;br /&gt;
Title: Playing through Microaggressions on a College Campus with “Blindspot”.&lt;br /&gt;
Game Design Track - Long Paper (20 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71683057/playing-through-microaggressions-on"&gt;&lt;img src="http://video.itu.dk/64968578/71683057/afd87df034c08389e60dc0da4c4bf171/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
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            <category>2021</category>
            <category>Christel</category>
            <category>cog</category>
            <category>cog2021</category>
            <category>Cui</category>
            <category>Fan</category>
            <category>Kaufman</category>
            <category>Lu</category>
            <category>Saldamarco</category>
            <category>Wu</category>
            <category>Xiao</category>
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            <pubDate>Wed, 03 Nov 2021 15:20:45 GMT</pubDate>
            <media:title>Content generation: a journey from AI  research to content product automation...</media:title>
            <itunes:summary>Author: Sahar Asadi
Title: Content generation: a journey from AI research to content product automation in Candy Crush Saga
Procedural Content Generation Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: Sahar Asadi
Title: Content generation: a journey from AI research to content product automation in Candy Crush Saga
Procedural Content Generation Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>21:17</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: Sahar Asadi&lt;br /&gt;
Title: Content generation: a journey from AI research to content product automation in Candy Crush Saga&lt;br /&gt;
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            <pubDate>Wed, 03 Nov 2021 15:20:45 GMT</pubDate>
            <media:title>World-GAN: a Generative Model for Minecraft Worlds</media:title>
            <itunes:summary>Authors: Maren Awiszus, Frederik Schubert and Bodo Rosenhahn
Title: World-GAN: a Generative Model for Minecraft Worlds
Procedural Content Generation Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Authors: Maren Awiszus, Frederik Schubert and Bodo Rosenhahn
Title: World-GAN: a Generative Model for Minecraft Worlds
Procedural Content Generation Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>14:35</itunes:duration>
            <media:description type="html">&lt;p&gt;Authors: Maren Awiszus, Frederik Schubert and Bodo Rosenhahn&lt;br /&gt;
Title: World-GAN: a Generative Model for Minecraft Worlds&lt;br /&gt;
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            <title>Linus Gisslén, Andy Eakins, Camilo Gordillo,  Joakim Bergdahl and Konrad...</title>
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            <description>&lt;p&gt;Linus Gisslén, Andy Eakins, Camilo Gordillo, Joakim Bergdahl and Konrad Tollmar&lt;br&gt;
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            <pubDate>Wed, 03 Nov 2021 15:19:48 GMT</pubDate>
            <media:title>Linus Gisslén, Andy Eakins, Camilo Gordillo,  Joakim Bergdahl and Konrad...</media:title>
            <itunes:summary>Linus Gisslén, Andy Eakins, Camilo Gordillo, Joakim Bergdahl and Konrad Tollmar
Adversarial Reinforcement Learning for Procedural Content Generation
Procedural Content Generation Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Linus Gisslén, Andy Eakins, Camilo Gordillo, Joakim Bergdahl and Konrad Tollmar
Adversarial Reinforcement Learning for Procedural Content Generation
Procedural Content Generation Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
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            <media:description type="html">&lt;p&gt;Linus Gisslén, Andy Eakins, Camilo Gordillo, Joakim Bergdahl and Konrad Tollmar&lt;br&gt;
Adversarial Reinforcement Learning for Procedural Content Generation&lt;br&gt;
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            <category>cog</category>
            <category>cog2021</category>
            <category>Eakins</category>
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            <category>Gordillo</category>
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        <item>
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            <title>Knowledge-Based Paranoia Search in Skat</title>
            <link>http://video.itu.dk/photo/71784042/knowledge-based-paranoia-search-in</link>
            <description>&lt;p&gt;IEEE Conference on Games 2021&lt;br /&gt;
AI for Playing Games&lt;br /&gt;
Author: Stefan Edelkamp&lt;br /&gt;
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            <pubDate>Wed, 03 Nov 2021 12:18:27 GMT</pubDate>
            <media:title>Knowledge-Based Paranoia Search in Skat</media:title>
            <itunes:summary>IEEE Conference on Games 2021
AI for Playing Games
Author: Stefan Edelkamp
Title: Knowledge-Based Paranoia Search in Skat</itunes:summary>
            <itunes:subtitle>IEEE Conference on Games 2021
AI for Playing Games
Author: Stefan Edelkamp
Title: Knowledge-Based Paranoia Search in Skat</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>14:13</itunes:duration>
            <media:description type="html">&lt;p&gt;IEEE Conference on Games 2021&lt;br /&gt;
AI for Playing Games&lt;br /&gt;
Author: Stefan Edelkamp&lt;br /&gt;
Title: Knowledge-Based Paranoia Search in Skat&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71784042/knowledge-based-paranoia-search-in"&gt;&lt;img src="http://video.itu.dk/64968571/71784042/6741fe7403e5799fa2edf921be8fbc4f/standard/download-7-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
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            <title>Generalising Discrete Action Spaces with  Conditional Action Trees </title>
            <link>http://video.itu.dk/photo/71784047/generalising-discrete-action-spaces</link>
            <description>&lt;p&gt;IEEE Conference on Games 2021&lt;br /&gt;
AI for Playing Games&lt;br /&gt;
Author: Christopher Bamford and Alvaro Ovalle&lt;br /&gt;
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            <pubDate>Wed, 03 Nov 2021 12:18:26 GMT</pubDate>
            <media:title>Generalising Discrete Action Spaces with  Conditional Action Trees </media:title>
            <itunes:summary>IEEE Conference on Games 2021
AI for Playing Games
Author: Christopher Bamford and Alvaro Ovalle
Title: Generalising Discrete Action Spaces with  Conditional Action Trees</itunes:summary>
            <itunes:subtitle>IEEE Conference on Games 2021
AI for Playing Games
Author: Christopher Bamford and Alvaro Ovalle
Title: Generalising Discrete Action Spaces with  Conditional Action Trees</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>18:40</itunes:duration>
            <media:description type="html">&lt;p&gt;IEEE Conference on Games 2021&lt;br /&gt;
AI for Playing Games&lt;br /&gt;
Author: Christopher Bamford and Alvaro Ovalle&lt;br /&gt;
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            <title>Fingerprinting Tabletop Games</title>
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            <description>&lt;p&gt;IEEE Conference on Games 2021&lt;br /&gt;
AI for Playing Games&lt;br /&gt;
Author: James Goodman, Simon Lucas and Diego&lt;br /&gt;
Perez-Liebana&lt;br /&gt;
Title: Fingerprinting Tabletop Games&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71784049/fingerprinting-tabletop-games"&gt;&lt;img src="http://video.itu.dk/64968571/71784049/cc0ae1bdf3e5f557a8e2af64c3f2fc9f/standard/download-7-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
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            <pubDate>Wed, 03 Nov 2021 12:18:26 GMT</pubDate>
            <media:title>Fingerprinting Tabletop Games</media:title>
            <itunes:summary>IEEE Conference on Games 2021
AI for Playing Games
Author: James Goodman, Simon Lucas and Diego
Perez-Liebana
Title: Fingerprinting Tabletop Games</itunes:summary>
            <itunes:subtitle>IEEE Conference on Games 2021
AI for Playing Games
Author: James Goodman, Simon Lucas and Diego
Perez-Liebana
Title: Fingerprinting Tabletop Games</itunes:subtitle>
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            <media:description type="html">&lt;p&gt;IEEE Conference on Games 2021&lt;br /&gt;
AI for Playing Games&lt;br /&gt;
Author: James Goodman, Simon Lucas and Diego&lt;br /&gt;
Perez-Liebana&lt;br /&gt;
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            <category>ai</category>
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            <title>Boosting Exploration of Low-Dimensional  Game Spaces with Stale Human...</title>
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            <description>&lt;p&gt;IEEE Conference on Games 2021&lt;br /&gt;
AI for Playing Games&lt;br /&gt;
Author: Kenneth Chang and Adam M. Smith&lt;br /&gt;
Title: Boosting Exploration of Low-Dimensional  Game Spaces with Stale Human  Demonstrations&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71784053/boosting-exploration-of"&gt;&lt;img src="http://video.itu.dk/64968575/71784053/503882a3bd37c58dfeaabfae1d5a07e5/standard/download-7-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
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            <pubDate>Wed, 03 Nov 2021 12:18:26 GMT</pubDate>
            <media:title>Boosting Exploration of Low-Dimensional  Game Spaces with Stale Human...</media:title>
            <itunes:summary>IEEE Conference on Games 2021
AI for Playing Games
Author: Kenneth Chang and Adam M. Smith
Title: Boosting Exploration of Low-Dimensional  Game Spaces with Stale Human  Demonstrations</itunes:summary>
            <itunes:subtitle>IEEE Conference on Games 2021
AI for Playing Games
Author: Kenneth Chang and Adam M. Smith
Title: Boosting Exploration of Low-Dimensional  Game Spaces with Stale Human  Demonstrations</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>09:08</itunes:duration>
            <media:description type="html">&lt;p&gt;IEEE Conference on Games 2021&lt;br /&gt;
AI for Playing Games&lt;br /&gt;
Author: Kenneth Chang and Adam M. Smith&lt;br /&gt;
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AI for Playing Games&lt;br /&gt;
Author: Timo Bertram, Johannes Fürnkranz and&lt;br /&gt;
Martin Müller&lt;br /&gt;
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AI for Playing Games
Author: Timo Bertram, Johannes Fürnkranz and
Martin Müller
Title: Predicting Human Card Selection in Magic:
The Gathering with Contextual Preference
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AI for Playing Games
Author: Timo Bertram, Johannes Fürnkranz and
Martin Müller
Title: Predicting Human Card Selection in Magic:
The Gathering with Contextual Preference
Ranking</itunes:subtitle>
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AI for Playing Games&lt;br /&gt;
Author: Timo Bertram, Johannes Fürnkranz and&lt;br /&gt;
Martin Müller&lt;br /&gt;
Title: Predicting Human Card Selection in Magic:&lt;br /&gt;
The Gathering with Contextual Preference&lt;br /&gt;
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