Using Speech to Reduce Loss of Trust in Humanoid Social Robots
(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:
https://lup.lub.lu.se/record/ba3b4d18-5612-4b5c-b683-c2e5fd077846
- author
- Krantz, Amandus LU ; Balkenius, Christian LU and Johansson, Birger LU
- organization
- publishing date
- 2022
- 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}}, }