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Physiological and subjective responses to articulated robot motion

Published online by Cambridge University Press:  08 August 2006

Dana Kulić  and
Elizabeth Croft
Dana Kulić
Affiliation:
Department of Mechanical Engineering, University of British Columbia, Vancouver, British Columbia V6T 1Z4, Canada E-mail: ecroft@mech.ubc.ca
Elizabeth Croft
Affiliation:
Department of Mechanical Engineering, University of British Columbia, Vancouver, British Columbia V6T 1Z4, Canada E-mail: ecroft@mech.ubc.ca
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Abstract

This paper describes the implementation and validation of a fuzzy inference engine for estimating human affective state in real-time, using robot motions as the stimulus. The inference engine was tested with 36 subjects. To the authors' knowledge, this paper reports the first such trial that measures affective response to human-scale physical robot motions for a statistically significant population. The results demonstrate that affective state arousal can be detected using physiological signals and the inference engine. Comparison of results between the two planners shows that subjects report less anxiety and surprise with the safe planner.

Keywords

Physiological signal monitoringAffective state estimationHuman–robot interaction

Information

Type
Article
Information
Robotica , Volume 25 , Issue 1 , January 2007 , pp. 13 - 27
Copyright
2006 Cambridge University Press

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