{"id":606654,"date":"2019-09-02T03:10:55","date_gmt":"2019-09-02T10:10:55","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-event&p=606654"},"modified":"2019-09-02T03:10:55","modified_gmt":"2019-09-02T10:10:55","slug":"msr-cambridge-lab-lecture-modeling-user-experience-in-games-lessons-learned","status":"publish","type":"msr-event","link":"https:\/\/www.microsoft.com\/en-us\/research\/event\/msr-cambridge-lab-lecture-modeling-user-experience-in-games-lessons-learned\/","title":{"rendered":"MSR Cambridge Lab Lecture: Modeling User Experience in Games: Lessons Learned"},"content":{"rendered":"

21 Station Road
\nCambridge
\nCB1 2FB<\/p>\n","protected":false},"excerpt":{"rendered":"

21 Station Road Cambridge CB1 2FB<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"msr_startdate":"2019-09-03","msr_enddate":"2019-09-03","msr_location":"MSR Cambridge","msr_expirationdate":"","msr_event_recording_link":"","msr_event_link":"","msr_event_link_redirect":false,"msr_event_time":"10:00-11:00","msr_hide_region":false,"msr_private_event":false,"footnotes":""},"research-area":[],"msr-region":[],"msr-event-type":[197944],"msr-video-type":[],"msr-locale":[268875],"msr-program-audience":[],"msr-post-option":[],"msr-impact-theme":[],"class_list":["post-606654","msr-event","type-msr-event","status-publish","hentry","msr-event-type-hosted-by-microsoft","msr-locale-en_us"],"msr_about":"21 Station Road\r\nCambridge\r\nCB1 2FB","tab-content":[{"id":0,"name":"Speaker","content":"Georgios Yannakakis, University of Malta"},{"id":1,"name":"Abstract","content":"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."},{"id":2,"name":"Bio","content":"Georgios N. Yannakakis (yannakakis.net) is a Professor and Director of the Institute of Digital Games, University of Malta. He is a leading expert of the game artificial intelligence research field with core theoretical contributions in machine learning, evolutionary computation, affective computing and player modelling, computational creativity and procedural content generation. He has published more than 220 papers and his work has been cited broadly. He has attracted funding from several EU and national research agencies and received multiple awards for published work in top-tier journals and conferences. His work has been featured in New Scientist, Science Magazine, The Guardian, Le Monde and other venues. He is regularly invited to give keynote talks in the most recognised conferences in his areas of research activity and has organised a few of the most respected conferences in the areas of game AI and game research. He has been an Associate Editor of the IEEE Transactions on Computational Intelligence and AI in Games and the IEEE Transactions on Affective Computing journals; he is currently an Associate editor of the IEEE Transactions on Games. He is the co-author of the Artificial Intelligence and Games Textbook."}],"msr_startdate":"2019-09-03","msr_enddate":"2019-09-03","msr_event_time":"10:00-11:00","msr_location":"MSR Cambridge","msr_event_link":"","msr_event_recording_link":"","msr_startdate_formatted":"September 3, 2019","msr_register_text":"Watch now","msr_cta_link":"","msr_cta_text":"","msr_cta_bi_name":"","featured_image_thumbnail":null,"event_excerpt":"Georgios Yannakakis, University of Malta","msr_research_lab":[199561],"related-researchers":[],"msr_impact_theme":[],"related-academic-programs":[],"related-groups":[],"related-projects":[],"related-opportunities":[],"related-publications":[],"related-videos":[],"related-posts":[],"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event\/606654"}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-event"}],"version-history":[{"count":1,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event\/606654\/revisions"}],"predecessor-version":[{"id":606657,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event\/606654\/revisions\/606657"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=606654"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=606654"},{"taxonomy":"msr-region","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-region?post=606654"},{"taxonomy":"msr-event-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event-type?post=606654"},{"taxonomy":"msr-video-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video-type?post=606654"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=606654"},{"taxonomy":"msr-program-audience","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-program-audience?post=606654"},{"taxonomy":"msr-post-option","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-post-option?post=606654"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=606654"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}