Paper Info
Title
Proposing Human-Robot Trust Assessment Through Tracking Physical Apprehension Signals in Close-Proximity Human-Robot Collaboration
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.
Year
DOI
Venue
2019
10.1109/RO-MAN46459.2019.8956335
2019 28th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)
Keywords
DocType
ISSN
close-proximity human-robot collaboration,body tracking,skeleton tracking,Sawyer robot,robot velocity,dip trust,human-robot trust assessment,physical apprehension signals tracking
Conference
1944-9445
ISBN
Citations 
PageRank 
978-1-7281-2623-4
0
0.34
References 
Authors
7
3
Name
Order
Citations
PageRank
Hald, Kasper132.50
Matthias Rehm215721.98
Thomas Moeslund32721186.08