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dc.contributor.authorWagner, Alan R.
dc.contributor.authorArkin, Ronald C.
dc.date.accessioned2008-03-26T21:42:41Z
dc.date.available2008-03-26T21:42:41Z
dc.date.issued2006
dc.identifier.urihttp://hdl.handle.net/1853/20644
dc.description.abstractThis paper presents a theoretical framework for computationally representing social situations in a robot. This work is based on interdependence theory, a social psychological theory of interaction and social situation analysis. We use interdependence theory to garner information about the social situations involving a human and a robot. We also quantify the gain in outcome resulting from situation analysis. Experiments demonstrate the utility of social situation information and of our situation-based framework as a method for guiding robot interaction. We conclude that this framework offers a principled, general approach for studying 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.subjectSocial developmenten_US
dc.subjectSocial situationen_US
dc.titleA Framework for Situation-Based Social Interactionen_US
dc.typePaperen_US
dc.contributor.corporatenameGeorgia Institute of Technology. Graphics, Visualization and Usability Center


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  • Mobile Robot Laboratory Publications [187]
    Papers, pre/post-prints, and presentations by faculty and students in the Georgia Tech Mobile Robot Laboratory.
  • Mobile Robot Laboratory [187]
    Papers, pre/post-prints, and presentations by faculty and students in the Georgia Tech Mobile Robot Laboratory.

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