Title:
Analyzing Social Situations for Human-Robot Interaction
Analyzing Social Situations for Human-Robot Interaction
Author(s)
Wagner, Alan R.
Arkin, Ronald C.
Arkin, Ronald C.
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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.
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Date Issued
2007
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Text
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Paper