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Using Speech to Reduce Loss of Trust in Humanoid Social Robots

Krantz, Amandus LU orcid ; Balkenius, Christian LU orcid and Johansson, Birger LU orcid (2022) 31st IEEE International Conference on Robot & Human Interactive Communication, IEEE RO-MAN
Abstract
We present data from two online human-robot interaction experiments where 227 participants viewed videos of a humanoid robot exhibiting faulty or non-faulty behaviours while either remaining mute or speaking. The participants were asked to evaluate their perception of the robot's trustworthiness, as well as its likeability, animacy, and perceived intelligence. The results show that, while a non-faulty robot achieves the highest trust, an apparently faulty robot that can speak manages to almost completely mitigate the loss of trust that is otherwise seen with faulty behaviour. We theorize that this mitigation is correlated with the increase in perceived intelligence that is also seen when speech is present.
Please use this url to cite or link to this publication:
author
; and
organization
publishing date
type
Contribution to conference
publication status
published
subject
pages
4 pages
conference name
31st IEEE International Conference on Robot & Human Interactive Communication, IEEE RO-MAN
conference location
Naples, Italy
conference dates
2022-08-29 - 2022-09-02
DOI
10.48550/arXiv.2208.13688
project
Non-Verbal Signals of Trust and Group Identification in Humans and Robots
language
English
LU publication?
yes
additional info
SCRITA Workshop Proceedings (arXiv:2208.11090) held in conjunction with 31st IEEE International Conference on Robot & Human Interactive Communication, 29/08 - 02/09 2022, Naples (Italy)
id
ba3b4d18-5612-4b5c-b683-c2e5fd077846
date added to LUP
2022-09-02 10:09:09
date last changed
2022-11-29 15:36:54
@misc{ba3b4d18-5612-4b5c-b683-c2e5fd077846,
  abstract     = {{We present data from two online human-robot interaction experiments where 227 participants viewed videos of a humanoid robot exhibiting faulty or non-faulty behaviours while either remaining mute or speaking. The participants were asked to evaluate their perception of the robot's trustworthiness, as well as its likeability, animacy, and perceived intelligence. The results show that, while a non-faulty robot achieves the highest trust, an apparently faulty robot that can speak manages to almost completely mitigate the loss of trust that is otherwise seen with faulty behaviour. We theorize that this mitigation is correlated with the increase in perceived intelligence that is also seen when speech is present.}},
  author       = {{Krantz, Amandus and Balkenius, Christian and Johansson, Birger}},
  language     = {{eng}},
  title        = {{Using Speech to Reduce Loss of Trust in Humanoid Social Robots}},
  url          = {{http://dx.doi.org/10.48550/arXiv.2208.13688}},
  doi          = {{10.48550/arXiv.2208.13688}},
  year         = {{2022}},
}