Title:
A Framework for Situation-Based Social Interaction

dc.contributor.author Wagner, Alan R.
dc.contributor.author Arkin, Ronald C.
dc.contributor.corporatename Georgia Institute of Technology. Graphics, Visualization and Usability Center
dc.date.accessioned 2008-03-26T21:42:41Z
dc.date.available 2008-03-26T21:42:41Z
dc.date.issued 2006
dc.description.abstract This 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.identifier.uri http://hdl.handle.net/1853/20644
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 Social development en_US
dc.subject Social situation en_US
dc.title A Framework for Situation-Based Social Interaction en_US
dc.type Text
dc.type.genre Paper
dspace.entity.type Publication
local.contributor.author Arkin, Ronald C.
local.contributor.corporatename College of Computing
local.contributor.corporatename Mobile Robot Laboratory
local.contributor.corporatename Institute for Robotics and Intelligent Machines (IRIM)
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