Title:
Analyzing Social Situations for Human-Robot Interaction

dc.contributor.author Wagner, Alan R.
dc.contributor.author Arkin, Ronald C.
dc.contributor.corporatename Georgia Institute of Technology. College of Computing
dc.contributor.corporatename Georgia Institute of Technology. Graphics, Visualization and Usability Center
dc.date.accessioned 2008-03-14T19:32:06Z
dc.date.available 2008-03-14T19:32:06Z
dc.date.issued 2007
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.identifier.uri http://hdl.handle.net/1853/20523
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 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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relation.isOrgUnitOfPublication c8892b3c-8db6-4b7b-a33a-1b67f7db2021
relation.isOrgUnitOfPublication 488966cd-f689-41af-b678-bbd1ae9c01d4
relation.isOrgUnitOfPublication 66259949-abfd-45c2-9dcc-5a6f2c013bcf
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