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

Kasper Hald; Matthias Rehm; Thomas B. Moeslund

doi:10.1109/RO-MAN46459.2019.8956335

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

Kasper Hald, Matthias Rehm, Thomas B. Moeslund

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

14 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 language	English
Title of host publication	28th IEEE International Conference on Robot and Human Interactive Communication (ROMAN)
Publisher	IEEE Computer Society Press
Publication date	2019
Article number	8956335
ISBN (Electronic)	978-1-7281-2622-7
DOIs	https://doi.org/10.1109/RO-MAN46459.2019.8956335
Publication status	Published - 2019
Event	The 28th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN): Ro-man2019 - New Delhi, India Duration: 14 Oct 2019 → 18 Nov 2019 https://ro-man2019.org/

Conference

Conference	The 28th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)
Country/Territory	India
City	New Delhi
Period	14/10/2019 → 18/11/2019
Internet address	https://ro-man2019.org/

Series	IEEE RO-MAN proceedings
ISSN	1944-9445

Keywords

Human Robot Interaction
Human Robot Collaboration
human robot trust

Access to Document

10.1109/RO-MAN46459.2019.8956335

AUB Link

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@inproceedings{ce5a35d984bd4cc089cd6ab8bdccf6dc,

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.",

keywords = "Human Robot Interaction, Human Robot Collaboration, human robot trust",

author = "Kasper Hald and Matthias Rehm and Moeslund, {Thomas B.}",

year = "2019",

doi = "10.1109/RO-MAN46459.2019.8956335",

language = "English",

series = "IEEE RO-MAN proceedings",

publisher = "IEEE Computer Society Press",

booktitle = "28th IEEE International Conference on Robot and Human Interactive Communication (ROMAN)",

address = "United States",

note = "The 28th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN) : Ro-man2019 ; Conference date: 14-10-2019 Through 18-11-2019",

url = "https://ro-man2019.org/",

}

Hald, K , Rehm, M & Moeslund, TB 2019, Proposing Human-Robot Trust Assessment Through Tracking Physical Apprehension Signals in Close-Proximity Human-Robot Collaboration. in 28th IEEE International Conference on Robot and Human Interactive Communication (ROMAN)., 8956335, IEEE Computer Society Press, IEEE RO-MAN proceedings, The 28th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), New Delhi, India, 14/10/2019. https://doi.org/10.1109/RO-MAN46459.2019.8956335

Proposing Human-Robot Trust Assessment Through Tracking Physical Apprehension Signals in Close-Proximity Human-Robot Collaboration. / Hald, Kasper ; Rehm, Matthias ; Moeslund, Thomas B.
28th IEEE International Conference on Robot and Human Interactive Communication (ROMAN). IEEE Computer Society Press, 2019. 8956335 (IEEE RO-MAN proceedings).

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

TY - GEN

T1 - Proposing Human-Robot Trust Assessment Through Tracking Physical Apprehension Signals in Close-Proximity Human-Robot Collaboration

AU - Hald, Kasper

AU - Rehm, Matthias

AU - Moeslund, Thomas B.

PY - 2019

Y1 - 2019

N2 - 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.

AB - 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.

KW - Human Robot Interaction

KW - Human Robot Collaboration

KW - human robot trust

UR - https://ras.papercept.net/conferences/conferences/ROMAN19/program/ROMAN19_ContentListWeb_1.html#tubs1_06

U2 - 10.1109/RO-MAN46459.2019.8956335

DO - 10.1109/RO-MAN46459.2019.8956335

M3 - Article in proceeding

T3 - IEEE RO-MAN proceedings

BT - 28th IEEE International Conference on Robot and Human Interactive Communication (ROMAN)

PB - IEEE Computer Society Press

T2 - The 28th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)

Y2 - 14 October 2019 through 18 November 2019

ER -

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

Abstract

Conference

Keywords

Access to Document

AUB Link

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Drapebot: Collaborative Draping of Carbon Fiber Parts

Human-Robot Trust Assessment From Physical Apprehension Signals

Cite this

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

Abstract

Conference

Keywords

Access to Document

AUB Link

Other files and links

Fingerprint

Projects

Drapebot: Collaborative Draping of Carbon Fiber Parts

Research output

Human-Robot Trust Assessment From Physical Apprehension Signals

Cite this