Anxiety detection during human-robot interaction

Dana Kulic, Elizabeth Croft

Research output: Chapter in Book/Report/Conference proceedingConference PaperOther

76 Citations (Scopus)

Abstract

This paper describes an experiment to determine the feasibility of using physiological signals to determine the human response to robot motions during direct human-robot interaction. A robot manipulator is used to generate common interaction motions, and human subjects are asked to report their response to the motions. The human physiological response is also measured. Motion paths are generated using a classic potential field planner and a safe motion planner, which minimizes the potential collision force along the path. A fuzzy inference engine is developed to estimate the human response based on the physiological measures. Results show that emotional arousal can be detected using physiological signals and the inference engine. Comparison of initial results between the two planners shows that subjects report less anxiety and surprise with the safe planner for high planner speeds.

Original languageEnglish
Title of host publication2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages389-394
Number of pages6
ISBN (Print)0780389123, 9780780389120
DOIs
Publication statusPublished - 1 Dec 2005
Externally publishedYes
EventIEEE/RSJ International Conference on Intelligent Robots and Systems 2005 - Edmonton, Canada
Duration: 2 Aug 20056 Aug 2005
https://ieeexplore.ieee.org/xpl/conhome/10375/proceeding (Proceedings)

Conference

ConferenceIEEE/RSJ International Conference on Intelligent Robots and Systems 2005
Abbreviated titleIROS 2005
Country/TerritoryCanada
CityEdmonton
Period2/08/056/08/05
Internet address

Keywords

  • Affective state estimation
  • Human-robot interaction
  • Physiological signal monitoring
  • Safety

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