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A Framework for Situation-based Social Interaction

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2 Author(s)
Wagner, A.R. ; Coll. of Comput., Georgia Inst. of Technol., Atlanta, GA ; Arkin, R.C.

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

Published in:

Robot and Human Interactive Communication, 2006. ROMAN 2006. The 15th IEEE International Symposium on

Date of Conference:

6-8 Sept. 2006