{"382631":{"#nid":"382631","#data":{"type":"event","title":"Ph.D Defense by Crystal Chao","body":[{"value":"\u003Cp\u003EPh.D. Dissertation Defense Announcement\u003Cbr \/\u003E\u003Cbr \/\u003ETitle: \u003Cstrong\u003ETiming Multimodal Turn-Taking in Human-Robot Cooperative Activity\u003C\/strong\u003E\u003Cbr \/\u003E\u003Cbr \/\u003ECrystal Chao\u003Cbr \/\u003ERobotics Ph.D. candidate\u003Cbr \/\u003ESchool of Interactive Computing\u003Cbr \/\u003E\u003Cbr \/\u003EDate: Thursday, March 12, 2015\u003Cbr \/\u003ETime: 10:00 am - 12:00 pm\u003Cbr \/\u003E\u003Cstrong\u003ELocation: Marcus Nanotechnology Bldg., Room 1117-1118\u003C\/strong\u003E\u003Cbr \/\u003E\u003Cbr \/\u003E\u003Cstrong\u003ECommittee:\u003C\/strong\u003E\u003Cbr \/\u003EDr. Andrea L. Thomaz (Advisor), School of Interactive Computing\u003Cbr \/\u003EDr. Ronald C. Arkin, School of Interactive Computing\u003Cbr \/\u003EDr. Henrik I. Christensen, School of Interactive Computing\u003Cbr \/\u003EDr. Karen M. Feigh, School of Aerospace Engineering\u003Cbr \/\u003EDr. Candace L. Sidner, Department of Computer Science, Worcester Polytechnic Institute\u003Cbr \/\u003E\u003Cbr \/\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E\u003Cbr \/\u003E\u003Cbr \/\u003ETurn-taking is a fundamental process that governs social interaction. When humans interact, they naturally take initiative and relinquish control to each other using verbal and nonverbal behavior in a coordinated manner. In contrast, existing approaches for controlling a robot\u0027s social behavior do not explicitly model turn-taking, resulting in interaction breakdowns in which the human is uncertain about when to act. They also lack generality, relying on scripted behavior control that must be designed for each new domain.\u003Cbr \/\u003E\u003Cbr \/\u003EThis thesis seeks to enable robots to cooperate fluently with humans by automatically controlling the timing of multimodal turn-taking. Based on our empirical studies of interaction phenomena, we develop a computational turn-taking model that accounts for multimodal information flow and resource usage in interaction. This model is implemented within a novel behavior generation architecture called CADENCE, the Control Architecture for the Dynamics of Embodied Natural Coordination and Engagement, that controls a robot\u0027s speech, gesture, gaze, and manipulation. CADENCE controls turn-taking using a timed Petri net (TPN) representation that integrates resource exchange, interruptible modality execution, and modeling of the human user. We demonstrate progressive developments of CADENCE through multiple domains of autonomous interaction encompassing situated dialogue and collaborative manipulation. We also iteratively evaluate improvements in the system using quantitative metrics of task success, fluency, and balance of control.\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Timing Multimodal Turn-Taking in Human-Robot Cooperative Activity"}],"uid":"27707","created_gmt":"2015-02-27 11:05:45","changed_gmt":"2016-10-08 02:11:23","author":"Tatianna Richardson","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2015-03-12T11:00:00-04:00","event_time_end":"2015-03-12T13:00:00-04:00","event_time_end_last":"2015-03-12T13:00:00-04:00","gmt_time_start":"2015-03-12 15:00:00","gmt_time_end":"2015-03-12 17:00:00","gmt_time_end_last":"2015-03-12 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"221981","name":"Graduate Studies"}],"categories":[],"keywords":[{"id":"3366","name":"dissertation"},{"id":"1808","name":"graduate students"},{"id":"105701","name":"Ph.d. Defense"}],"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":""}}}