IT University of Copenhagen sitecore@itu.dk https://video.itu.dk en-us Visualplatform http://blogs.law.harvard.edu/tech/rss IT University of Copenhagen Stay up to date with all the things that are happening at IT University of Copenhagen. This podcast will serve you various videos and audios with accounts from scientists and actual students at IT University, and give you a glimpse into their... episodic no https://video.itu.dk/files/rv0.0/sitelogo.gif https://video.itu.dk http://video.itu.dk/photo/71689115/die-r-consequences-player <p>Author: Marjorie Ann Cuerdo, Anika Mahajan and Edward Melcer.<br /> Title: Die-r Consequences: Player Experience and the Design of Failure through Respawning Mechanics.<br /> Human-Computer Interaction Track - Short Paper (10 min) - IEEE Conference on Games 2021</p><p><a href="http://video.itu.dk/photo/71689115/die-r-consequences-player"><img src="http://video.itu.dk/64968578/71689115/af1b55cd5d431db61139b7c7336da1ac/standard/download-7-thumbnail.jpg" width="75" height=""/></a></p> http://video.itu.dk/photo/71689115 Wed, 03 Nov 2021 15:25:35 GMT Die-r Consequences: Player Experience and the Design of Failure through... 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 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 IT University of Copenhagen 09:48 <p>Author: Marjorie Ann Cuerdo, Anika Mahajan and Edward Melcer.<br /> Title: Die-r Consequences: Player Experience and the Design of Failure through Respawning Mechanics.<br /> Human-Computer Interaction Track - Short Paper (10 min) - IEEE Conference on Games 2021</p><p><a href="http://video.itu.dk/photo/71689115/die-r-consequences-player"><img src="http://video.itu.dk/64968578/71689115/af1b55cd5d431db61139b7c7336da1ac/standard/download-7-thumbnail.jpg" width="75" height=""/></a></p> 2021 cog cog2021 cuerdo experience failure mahajan melcer player respawn http://video.itu.dk/photo/71684361/automatically-detecting-player <p>Author: Harro Tuin and Martin Rooijackers.<br /> Title: Automatically detecting player roles in Among Us.<br /> Analytics and Player Psychology Track - Short Paper (10 min) - IEEE Conference on Games 2021</p><p><a href="http://video.itu.dk/photo/71684361/automatically-detecting-player"><img src="http://video.itu.dk/64968560/71684361/1d30ea4f694ac559fbd97e3c6cf5d573/standard/download-8-thumbnail.jpg" width="75" height=""/></a></p> http://video.itu.dk/photo/71684361 Wed, 03 Nov 2021 15:23:57 GMT Automatically detecting player roles in Among Us. 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 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 IT University of Copenhagen 09:18 <p>Author: Harro Tuin and Martin Rooijackers.<br /> Title: Automatically detecting player roles in Among Us.<br /> Analytics and Player Psychology Track - Short Paper (10 min) - IEEE Conference on Games 2021</p><p><a href="http://video.itu.dk/photo/71684361/automatically-detecting-player"><img src="http://video.itu.dk/64968560/71684361/1d30ea4f694ac559fbd97e3c6cf5d573/standard/download-8-thumbnail.jpg" width="75" height=""/></a></p> 2021 among cog cog2021 player roles rooijackers tuin us http://video.itu.dk/photo/71684396/towards-general-models-of-player <p>Author: David Melhart, Antonios Liapis and Georgios N. Yannakakis.<br /> Title: Towards General Models of Player Experience: A Study Within Genres.<br /> Analytics and Player Psychology Track - Long Paper (20 min) - IEEE Conference on Games 2021</p><p><a href="http://video.itu.dk/photo/71684396/towards-general-models-of-player"><img src="http://video.itu.dk/64968568/71684396/ed764cc70819a28f4efb594ac709cfd2/standard/download-8-thumbnail.jpg" width="75" height=""/></a></p> http://video.itu.dk/photo/71684396 Wed, 03 Nov 2021 15:23:57 GMT Towards General Models of Player Experience: A Study Within Genres 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 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 IT University of Copenhagen 15:37 <p>Author: David Melhart, Antonios Liapis and Georgios N. Yannakakis.<br /> Title: Towards General Models of Player Experience: A Study Within Genres.<br /> Analytics and Player Psychology Track - Long Paper (20 min) - IEEE Conference on Games 2021</p><p><a href="http://video.itu.dk/photo/71684396/towards-general-models-of-player"><img src="http://video.itu.dk/64968568/71684396/ed764cc70819a28f4efb594ac709cfd2/standard/download-8-thumbnail.jpg" width="75" height=""/></a></p> 2021 cog cog2021 experience general liapis melhart model player yannakakis http://video.itu.dk/photo/71684620/stable-analyzing-player-movement <p>Author: Luana Fragoso and Kevin Stanley.<br /> Title: StABLE: Analyzing Player Movement Similarity Using Text Mining.<br /> Analytics and Player Psychology Track - Long Paper (20 min) - IEEE Conference on Games 2021</p><p><a href="http://video.itu.dk/photo/71684620/stable-analyzing-player-movement"><img src="http://video.itu.dk/64968561/71684620/3af1bfc185375827649cc4c30ab1b62c/standard/download-8-thumbnail.jpg" width="75" height=""/></a></p> http://video.itu.dk/photo/71684620 Wed, 03 Nov 2021 15:23:57 GMT StABLE: Analyzing Player Movement Similarity Using Text Mining 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 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 IT University of Copenhagen 18:09 <p>Author: Luana Fragoso and Kevin Stanley.<br /> Title: StABLE: Analyzing Player Movement Similarity Using Text Mining.<br /> Analytics and Player Psychology Track - Long Paper (20 min) - IEEE Conference on Games 2021</p><p><a href="http://video.itu.dk/photo/71684620/stable-analyzing-player-movement"><img src="http://video.itu.dk/64968561/71684620/3af1bfc185375827649cc4c30ab1b62c/standard/download-8-thumbnail.jpg" width="75" height=""/></a></p> 2021 cog cog2021 fragoso mining movement player stanley text http://video.itu.dk/photo/71684694/an-online-system-for <p>Author: Anurag Sarkar and Seth Cooper.<br /> Title: An Online System for Player-vs-Level Matchmaking in Human Computation Games.<br /> Analytics and Player Psychology Track - Short Paper (10 min) - IEEE Conference on Games 2021</p><p><a href="http://video.itu.dk/photo/71684694/an-online-system-for"><img src="http://video.itu.dk/64968575/71684694/6faa60c4f6fba14ac5ee0b740edadd3e/standard/download-8-thumbnail.jpg" width="75" height=""/></a></p> http://video.itu.dk/photo/71684694 Wed, 03 Nov 2021 15:23:57 GMT An Online System for Player-vs-Level Matchmaking in Human Computation Games 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 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 IT University of Copenhagen 09:43 <p>Author: Anurag Sarkar and Seth Cooper.<br /> Title: An Online System for Player-vs-Level Matchmaking in Human Computation Games.<br /> Analytics and Player Psychology Track - Short Paper (10 min) - IEEE Conference on Games 2021</p><p><a href="http://video.itu.dk/photo/71684694/an-online-system-for"><img src="http://video.itu.dk/64968575/71684694/6faa60c4f6fba14ac5ee0b740edadd3e/standard/download-8-thumbnail.jpg" width="75" height=""/></a></p> 2021 cog cog2021 cooper level matchmaking player sarkar