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dc.contributor.authorWagner, Alan R.
dc.contributor.authorArkin, Ronald C.
dc.date.accessioned2008-03-14T19:32:06Z
dc.date.available2008-03-14T19:32:06Z
dc.date.issued2007
dc.identifier.urihttp://hdl.handle.net/1853/20523
dc.description.abstractThis 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.isoen_USen_US
dc.publisherGeorgia Institute of Technologyen_US
dc.subjectHuman-robot interactionen_US
dc.subjectInterdependenceen_US
dc.subjectSituation analysisen_US
dc.subjectSocial situationen_US
dc.titleAnalyzing Social Situations for Human-Robot Interactionen_US
dc.typePaperen_US
dc.contributor.corporatenameGeorgia Institute of Technology. College of Computing
dc.contributor.corporatenameGeorgia Institute of Technology. Graphics, Visualization and Usability Center


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  • Mobile Robot Laboratory Publications [174]
    Papers, pre/post-prints, and presentations by faculty and students in the Georgia Tech Mobile Robot Laboratory.
  • Mobile Robot Laboratory [175]
    Papers, pre/post-prints, and presentations by faculty and students in the Georgia Tech Mobile Robot Laboratory.

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