{"395851":{"#nid":"395851","#data":{"type":"event","title":"PhD Defense by Hong Yu","body":[{"value":"\u003Cp\u003EPh.D. Dissertation Defense Announcement\u003Cbr \/\u003E\u003Cbr \/\u003ETitle: \u003Cstrong\u003EA Data-Driven Approach for Personalized Drama Management\u003C\/strong\u003E\u003Cbr \/\u003E\u003Cbr \/\u003EHong Yu\u003Cbr \/\u003ESchool of Computer Science\u003Cbr \/\u003ECollege of Computing\u003Cbr \/\u003EGeorgia Institute of Technology\u003Cbr \/\u003E\u003Ca href=\u0022http:\/\/www.cc.gatech.edu\/~hyu8\/\u0022 target=\u0022_blank\u0022\u003Ehttp:\/\/www.cc.gatech.edu\/~hyu8\/\u003C\/a\u003E\u003Cbr \/\u003E\u003Cbr \/\u003EDate: Thursday, April 23, 2015\u003Cbr \/\u003ETime: 10:00am-1:00pm EDT\u003Cbr \/\u003ELocation: TSRB 223\u003Cbr \/\u003E\u003Cbr \/\u003E\u003Cstrong\u003ECommittee:\u003C\/strong\u003E\u003Cbr \/\u003EDr. Mark Riedl (Advisor, School of Interactive Computing, Georgia Institute of Technology)\u003Cbr \/\u003EDr. Charles Isbell(School of Interactive Computing, Georgia Institute of Technology)\u003Cbr \/\u003EDr. Brian Magerko (School of Literature, Media, and Communication, Georgia Institute of Technology)\u003Cbr \/\u003EDr. David Roberts (Department of Computer Science, North Carolina State University)\u003Cbr \/\u003EDr. Andrea Thomaz (School of Interactive Computing, Georgia Institute of Technology)\u003Cbr \/\u003E\u003Cbr \/\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E\u003Cbr \/\u003EAn interactive narrative is a form of digital entertainment in which players can create or influence a dramatic storyline through actions, typically by assuming the role of a character in a fictional virtual world. The interactive narrative systems usually employ a drama manager (DM), an omniscient background agent that monitors the fictional world and determines what will happen next in the players\u2019 story experience. Prevailing approaches to drama management choose successive story plot points based on a set of criteria given by the game designers. In other words, the DM is a surrogate for the game designers.\u003Cbr \/\u003E\u003Cbr \/\u003EIn this dissertation, I create a data-driven personalized drama manager that takes into consideration players\u2019 preferences. The personalized drama manager is capable of (1) modeling the players\u2019 preference over successive plot points from the players\u2019 feedback; (2) guiding the players towards selected plot points without sacrificing players\u0027 agency. (3) choosing target successive plot points that simultaneously increase the player\u0027s story preference ratings and the probability of the players selecting the plot points.\u003Cbr \/\u003E\u003Cbr \/\u003ETo address the first problem, I develop a collaborative filtering algorithm that takes into account the specific sequence (or history) of experienced plot points when modeling players\u2019 preferences for future plot points. Unlike the traditional collaborative filtering algorithms that make one-shot recommendations of complete story artifacts (e.g., books, movies), the collaborative filtering algorithm I develop is a sequential recommendation algorithm that makes every successive recommendation based on all previous recommendations. To address the second problem, I create a multi-option branching story graph that allows multiple options to point to each plot point. The personalized DM working in the multi-option branching story graph can influence the players to make choices that coincide with the trajectories selected the DM, while gives the players the full agency to make any selection that leads to any plot point in their own judgement. To address the third problem, the personalized DM models the probability that the players transitioning to each full-length stories and selects target stories that achieve the highest expected preference ratings at every branching point in the story space. \u003Cbr \/\u003E\u003Cbr \/\u003EThe personalized DM is implemented in an interactive narrative system built with choose-your-own-adventure stories. Human study results show that the personalized DM can achieve significantly higher preference ratings than non-personalized DMs or DMs with pre-defined player types, while preserve the players\u0027 sense of agency.\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"A Data-Driven Approach for Personalized Drama Management"}],"uid":"27707","created_gmt":"2015-04-14 08:03:00","changed_gmt":"2016-10-08 02:11:39","author":"Tatianna Richardson","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2015-04-23T11:00:00-04:00","event_time_end":"2015-04-23T14:00:00-04:00","event_time_end_last":"2015-04-23T14:00:00-04:00","gmt_time_start":"2015-04-23 15:00:00","gmt_time_end":"2015-04-23 18:00:00","gmt_time_end_last":"2015-04-23 18:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"221981","name":"Graduate Studies"}],"categories":[],"keywords":[{"id":"1366","name":"defense"},{"id":"1808","name":"graduate students"},{"id":"913","name":"PhD"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78771","name":"Public"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}