Analyzing Social Situations for Human-Robot Interaction

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dc.contributor.author Wagner, Alan R.
dc.contributor.author Arkin, Ronald C.
dc.date.accessioned 2008-03-14T19:32:06Z
dc.date.available 2008-03-14T19:32:06Z
dc.date.issued 2007
dc.identifier.uri http://hdl.handle.net/1853/20523
dc.description.abstract This paper presents an algorithm for analyzing social situations within a robot. We contribute a method that allows the robot to use information about the situation to select interactive behaviors. This work is based on interdependence theory, a social psychological theory of interaction and interpersonal situation analysis. Experiments demonstrate the utility of the information provided by the situation analysis algorithm and of the value of this method for guiding robot interaction. We conclude that the situation analysis algorithm offers a viable, principled, and general approach to explore interactive robotics problems. en_US
dc.language.iso en_US en_US
dc.publisher Georgia Institute of Technology en_US
dc.subject Human-robot interaction en_US
dc.subject Interdependence en_US
dc.subject Situation analysis en_US
dc.subject Social situation en_US
dc.title Analyzing Social Situations for Human-Robot Interaction en_US
dc.type Paper en_US
dc.contributor.corporatename Georgia Institute of Technology. College of Computing
dc.contributor.corporatename Georgia Institute of Technology. Graphics, Visualization and Usability Center


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