{"680005":{"#nid":"680005","#data":{"type":"event","title":"Adaptive User Interfaces for Personalized Services","body":[{"value":"\u003Cp\u003E\u003Cbr\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E Pat Langley, principal research scientist in the Information\u003Cbr\u003Eand Communications Laboratory at Georgia Tech Research Institute\u003Cbr\u003Eand director of the Institute for the Study of Learning and Expertise\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E The Internet has made available massive amounts of information\u003Cbr\u003Eand given users more choices than ever before, but all too often the\u003Cbr\u003Eresult is more confusion than satisfaction. Intelligent assistants can\u003Cbr\u003Ehelp people filter relevant information and guide their choices, but\u003Cbr\u003Eusers have different goals and distinctive tastes. In this talk, I\u003Cbr\u003Ereport work adaptive user interfaces -- interactive systems that\u003Cbr\u003Eautomatically personalize their content to individual users. These\u003Cbr\u003Eincorporate technology and principles from machine learning,\u003Cbr\u003Eintelligent agents, and human-computer interaction to improve the\u003Cbr\u003Euser\u0027s experience. I describe a number of prototype systems, including\u003Cbr\u003Ea personalized navigation aide, an adaptive news reader, and a\u003Cbr\u003Econversational destination advisor. Along the way, I consider design\u003Cbr\u003Edecisions about the problem formulation, the representation of user\u003Cbr\u003Eprofiles, the unobtrusive collection of user feedback, and the effective\u003Cbr\u003Eutilization of inferred profiles. I claim that progress on personalized\u003Cbr\u003Eservices depends not on development of new algorithms, but rather\u003Cbr\u003Eon the integration of existing methods in novel ways.\u003C\/p\u003E\u003Cp\u003EThis talk describes joint work with Nicolas Fiechter, Melinda Gervasio,\u003Cbr\u003EWayne Iba, Mehmet Goker, Seth Rogers, and Cynthia Thompson.\u003C\/p\u003E\u003Cp\u003E--------------------\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E Pat Langley, Ph.D., serves as Principal Research Scientist in the Information\u003Cbr\u003Eand Communications Laboratory at Georgia Tech Research Institute\u003Cbr\u003Eand as Director of the Institute for the Study of Learning and Expertise.\u003Cbr\u003EHe has contributed to artificial intelligence and cognitive science for more\u003Cbr\u003Ethan 40 years, having published over 300 papers and five books on these\u003Cbr\u003Etopics. Dr. Langley developed some of the first computational approaches\u003Cbr\u003Eto scientific knowledge discovery, and he was an early champion of both\u003Cbr\u003Eexperimental studies of machine learning and its application to real-world\u003Cbr\u003Eproblems. He is the founding editor of two journals, Machine Learning\u003Cbr\u003Ein 1986 and Advances in Cognitive Systems in 2012, and he is a Fellow\u003Cbr\u003Eof both AAAI and the Cognitive Science Society. Dr. Langley\u0027s current\u003Cbr\u003Eresearch focuses on architectures for embodied intelligent agents and\u003Cbr\u003Einduction of explanatory scientific models.\u003C\/p\u003E\u003Cp\u003E----\u003C\/p\u003E\u003Ch2\u003E\u003Cstrong\u003EIPaT: GVU Lunch Lecture Series\u003C\/strong\u003E\u003C\/h2\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cp\u003EThe IPaT: GVU Lunch Lecture Series is free and features guest speakers presenting on topics related to people-centered technologies and their impact on society. Lunch is provided at 12:00 p.m. and the talks begin at 12:30 p.m. Join us weekly or watch video replays. Most lectures are held in the Technology Square Research Building (TSRB) 1st floor ballroom.\u0026nbsp;\u003Cbr\u003E\u003Ca href=\u0022https:\/\/research.gatech.edu\/ipat\/lunch-lectures\u0022\u003E\u003Cstrong\u003Ehttps:\/\/research.gatech.edu\/ipat\/lunch-lectures\u003C\/strong\u003E\u003C\/a\u003E\u003C\/p\u003E\u003C\/div\u003E\u003C\/div\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EIntelligent assistants can help people filter relevant information and guide their choices, but users have different goals and distinctive tastes.\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Intelligent assistants can help people filter relevant information and guide their choices, but users have different goals and distinctive tastes. "}],"uid":"27513","created_gmt":"2025-01-27 21:42:59","changed_gmt":"2025-01-27 21:50:09","author":"Walter Rich","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-02-06T12:00:00-05:00","event_time_end":"2025-02-06T13:30:00-05:00","event_time_end_last":"2025-02-06T13:30:00-05:00","gmt_time_start":"2025-02-06 17:00:00","gmt_time_end":"2025-02-06 18:30:00","gmt_time_end_last":"2025-02-06 18:30:00","rrule":null,"timezone":"America\/New_York"},"location":"TSRB (1st Floor Ballroom)","extras":[],"groups":[{"id":"69599","name":"IPaT"}],"categories":[],"keywords":[{"id":"188084","name":"go-ipat"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}