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  4. Design of Hesitation Gestures for Nonverbal Human-Robot Negotiation of Conflicts
 
research article

Design of Hesitation Gestures for Nonverbal Human-Robot Negotiation of Conflicts

Moon, Ajung
•
Hashmi, Maneezhay
•
Van der Loos, H. F. Machiel
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July 1, 2021
Acm Transactions On Human-Robot Interaction

When the question of who should get access to a communal resource first is uncertain, people often negotiate via nonverbal communication to resolve the conflict. What should a robot be programmed to do when such conflicts arise in Human-Robot Interaction? The answer to this question varies depending on the context of the situation. Learning from how humans use hesitation gestures to negotiate a solution in such conflict situations, we present a human-inspired design of nonverbal hesitation gestures that can be used for Human-Robot Negotiation. We extracted characteristic features of such negotiative hesitations humans use, and subsequently designed a trajectory generator (Negotiative Hesitation Generator) that can re-create the features in robot responses to conflicts. Our human-subjects experiment demonstrates the efficacy of the designed robot behaviour against non-negotiative stopping behaviour of a robot. With positive results from our human-robot interaction experiment, we provide a validated trajectory generator with which one can explore the dynamics of human-robot nonverbal negotiation of resource conflicts.

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Type
research article
DOI
10.1145/3418302
Web of Science ID

WOS:000731456900006

Author(s)
Moon, Ajung
Hashmi, Maneezhay
Van der Loos, H. F. Machiel
Croft, Elizabeth A.
Billard, Aude  orcid-logo
Date Issued

2021-07-01

Publisher

ASSOC COMPUTING MACHINERY

Published in
Acm Transactions On Human-Robot Interaction
Volume

10

Issue

3

Start page

24

Subjects

Robotics

•

human-robot interaction

•

negotiation

•

hesitation

•

nonverbal communication

•

communication

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LASA  
Available on Infoscience
January 1, 2022
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/184224
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