Proxemic feature recognition for interactive robots: automating metrics from the social sciences

Authors:
Ross Mead;Amin Atrash;Maja J. Matarić
Affiliations:
Interaction Lab, Computer Science Department, University of Southern California;Interaction Lab, Computer Science Department, University of Southern California;Interaction Lab, Computer Science Department, University of Southern California
Venue:
ICSR'11 Proceedings of the Third international conference on Social Robotics
Year:
2011

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Abstract

In this work, we discuss a set of metrics for analyzing human spatial behavior (proxemics) motivated by work in the social sciences. Specifically, we investigate individual, attentional, interpersonal, and physiological factors that contribute to social spacing. We demonstrate the feasibility of autonomous real-time annotation of these spatial features during multi-person social encounters. We utilize sensor suites that are non-invasive to participants, are readily deployable in a variety of environments (ranging from an instrumented workspace to a mobile robot platform), and do not interfere with the social interaction itself. Finally, we provide a discussion of the impact of these metrics and their utility in autonomous socially interactive systems.