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

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

Abstrakt

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.
OriginalsprogEngelsk
Titel28th IEEE International Conference on Robot and Human Interactive Communication (ROMAN)
ForlagIEEE Computer Society Press
Publikationsdato2019
Artikelnummer8956335
ISBN (Elektronisk)978-1-7281-2622-7
DOI
StatusUdgivet - 2019
BegivenhedThe 28th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN): Ro-man2019 - New Delhi, Indien
Varighed: 14 okt. 201918 nov. 2019
https://ro-man2019.org/

Konference

KonferenceThe 28th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)
LandIndien
ByNew Delhi
Periode14/10/201918/11/2019
Internetadresse
NavnIEEE RO-MAN proceedings
ISSN1944-9445

Fingeraftryk Dyk ned i forskningsemnerne om 'Proposing Human-Robot Trust Assessment Through Tracking Physical Apprehension Signals in Close-Proximity Human-Robot Collaboration'. Sammen danner de et unikt fingeraftryk.

Citationsformater