{"id":609123,"date":"2019-09-03T02:00:03","date_gmt":"2019-09-03T09:00:03","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&#038;p=609123"},"modified":"2019-09-19T08:44:49","modified_gmt":"2019-09-19T15:44:49","slug":"modeling-user-experience-in-games-lessons-learned","status":"publish","type":"msr-video","link":"https:\/\/www.microsoft.com\/en-us\/research\/video\/modeling-user-experience-in-games-lessons-learned\/","title":{"rendered":"Modeling User Experience in Games: Lessons Learned"},"content":{"rendered":"<p>How is player experience best labelled and, in turn, captured by a computational model? Which machine learning methods seem to be more appropriate for the task? What are the challenges of processing player demonstrations? In this talk, I will attempt to address the above questions primarily by viewing the field of player experience modelling from an ordinal perspective. I will showcase a number of representative studies demonstrating the benefits of such a perspective and reflect on the lessons learned from our projects at the Institute of Digital Games in Malta.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>How is player experience best labelled and, in turn, captured by a computational model? Which machine learning methods seem to be more appropriate for the task? What are the challenges of processing player demonstrations? In this talk, I will attempt to address the above questions primarily by viewing the field of player experience modelling from [&hellip;]<\/p>\n","protected":false},"featured_media":609138,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"footnotes":""},"research-area":[13561,13556],"msr-video-type":[243670],"msr-locale":[268875],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-609123","msr-video","type-msr-video","status-publish","has-post-thumbnail","hentry","msr-research-area-algorithms","msr-research-area-artificial-intelligence","msr-video-type-optics-talks","msr-locale-en_us"],"msr_download_urls":"","msr_external_url":"https:\/\/youtu.be\/AqdSRNKN66Q","msr_secondary_video_url":"","msr_video_file":"","_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/609123"}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-video"}],"version-history":[{"count":1,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/609123\/revisions"}],"predecessor-version":[{"id":609129,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/609123\/revisions\/609129"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/609138"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=609123"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=609123"},{"taxonomy":"msr-video-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video-type?post=609123"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=609123"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=609123"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=609123"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}