Using proxemics to evaluate human-robot interaction

Authors:
David Feil-Seifer;Maja Matarić
Affiliations:
University of Southern California, Los Angeles, CA, USA;University of Southern California, Los Angeles, CA, USA
Venue:
Proceedings of the 5th ACM/IEEE international conference on Human-robot interaction
Year:
2010

Citing 1
Cited 1

Robotic assistants in therapy and education of children with autism: can a small humanoid robot help encourage social interaction skills?

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Automated detection and classification of positive vs. negative robot interactions with children with autism using distance-based features

Proceedings of the 6th international conference on Human-robot interaction

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Abstract

Recent feasibility studies involving children with autism spectrum disorders (ASD) interacting with socially assistive robots have shown that children can have both positive and negative reactions to robots. These reactions can be readily identified by a human observer watching videos from an overhead camera. Our goal is to automate the process of such behavior analysis. This paper shows how a heuristic classifier can be used to discriminate between children that are attempting to interact socially with a robot and children that are not.