Proposing Human-Robot Trust Assessment Through Tracking Physical Apprehension Signals in Close-Proximity Human-Robot Collaboration

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16 Citations (Scopus)

Abstract

We propose a method of human-robot trust assessment in close-proximity human-robot collaboration involving body tracking for recognition of physical signs of apprehension. We tested this by performing skeleton tracking on 30 participant while they repeated a shared task with a Sawyer robot while reporting trust between tasks. We tested different robot velocity and environment conditions with an unannounced increase in velocity midway through to provoke a dip trust. Initial analysis show significant effect for the test conditions on participant movements and reported trust as well as linear correlations between tracked signs of apprehension and reported trust.
Original languageEnglish
Title of host publication28th IEEE International Conference on Robot and Human Interactive Communication (ROMAN)
PublisherIEEE Computer Society Press
Publication date2019
Article number8956335
ISBN (Electronic)978-1-7281-2622-7
DOIs
Publication statusPublished - 2019
EventThe 28th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN): Ro-man2019 - New Delhi, India
Duration: 14 Oct 201918 Nov 2019
https://ro-man2019.org/

Conference

ConferenceThe 28th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)
Country/TerritoryIndia
CityNew Delhi
Period14/10/201918/11/2019
Internet address
SeriesIEEE RO-MAN proceedings
ISSN1944-9445

Keywords

  • Human Robot Interaction
  • Human Robot Collaboration
  • human robot trust

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