A framework for situation-based social interaction

Alan R. Wagner, Ronald C. Arkin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationProceedings - RO-MAN 2006 - The 15th IEEE International Symposium on Robot and Human Interactive Communication
Pages291-297
Number of pages7
DOIs
StatePublished - 2006
EventRO-MAN 2006 - The 15th IEEE International Symposium on Robot and Human Interactive Communication - Hatfield, United Kingdom
Duration: Sep 6 2006Sep 8 2006

Publication series

NameProceedings - IEEE International Workshop on Robot and Human Interactive Communication

Other

OtherRO-MAN 2006 - The 15th IEEE International Symposium on Robot and Human Interactive Communication
CountryUnited Kingdom
CityHatfield
Period9/6/069/8/06

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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