Maria J. Galvez Trigo
“They’re not going to do all the tasks we do”: Understanding Trust and Reassurance towards a UV-C Disinfection Robot
Trigo, Maria J. Galvez; Reyes-Cruz, Gisela; Maior, Horia A.; Pepper, Cecily; Price, Dominic; Leonard, Pauline; Tochia, Chira; Hyde, Richard; Watson, Nicholas; Fischer, Joel E.
Authors
GISELA REYES CRUZ Gisela.ReyesCruz@nottingham.ac.uk
Transitional Assistant Professor
HORIA MAIOR Horia.Maior@nottingham.ac.uk
Transitional Assistant Professor
Cecily Pepper
DOMINIC PRICE dominic.price@nottingham.ac.uk
Research Fellow
Pauline Leonard
Chira Tochia
RICHARD HYDE RICHARD.HYDE@NOTTINGHAM.AC.UK
Professor of Law, regulation and Governance
Nicholas Watson
JOEL FISCHER Joel.Fischer@nottingham.ac.uk
Professor of Human-Computer Interaction
Abstract
Increasingly, robots are adopted for routine tasks such as cleaning and disinfection of public spaces, raising questions about attitudes and trust of professional cleaners who might in future have robots as teammates, and whether the general public feels reassured when disinfection is carried out by robots. In this paper, we present the results of a mixed-methods user study exploring how trust and reassurance by both professional cleaners and members of the public is affected by the use of a UV-C disinfection robot and information about its performance after disinfecting a simulated classroom. The results show a range of insights for those designing and wishing to deploy UV-C robots: we found that trust and reassurance are affected by information about the UV-C robot’s task performance, with more information coinciding with significantly more agreement to be able to judge that the robot is doing a good job. However, care should be taken when designing information about task performance to avoid misinterpretation. Overall, the results suggest a generally positive picture regarding the use of UV-C disinfecting robots and that cleaning professionals would be happy to have them as their teammates; however, there were also some concerns regarding the effect on less-skilled jobs. Taken together, our results provide considerations to make UV-C robots welcomed by cleaning teams as well as to provide reassurance to space users.
Citation
Trigo, M. J. G., Reyes-Cruz, G., Maior, H. A., Pepper, C., Price, D., Leonard, P., Tochia, C., Hyde, R., Watson, N., & Fischer, J. E. (2023, August). “They’re not going to do all the tasks we do”: Understanding Trust and Reassurance towards a UV-C Disinfection Robot. Presented at IEEE RO-MAN 2023, Busan, South Korea
Presentation Conference Type | Edited Proceedings |
---|---|
Conference Name | IEEE RO-MAN 2023 |
Start Date | Aug 28, 2023 |
End Date | Aug 31, 2023 |
Acceptance Date | Jun 2, 2023 |
Online Publication Date | Nov 13, 2023 |
Publication Date | Aug 28, 2023 |
Deposit Date | Apr 16, 2024 |
Publisher | Institute of Electrical and Electronics Engineers |
Book Title | 2023 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN) |
ISBN | 979-8-3503-3671-9 |
DOI | https://doi.org/10.1109/RO-MAN57019.2023.10309364 |
Public URL | https://nottingham-repository.worktribe.com/output/27855355 |
Publisher URL | https://ieeexplore.ieee.org/document/10309364 |
You might also like
Examining the Use of Autonomous Systems for Home Health Support Using a Smart Mirror
(2023)
Journal Article
Augmented Robotic Telepresence (ART): A Prototype for Enhancing Remote Interaction and Participation
(-0001)
Presentation / Conference Contribution
Co-creating Museum Robots With People That Are Autistic and/or Have Learning Disabilities
(-0001)
Presentation / Conference Contribution
Mobility and Utility in Robot Mediated Interaction: An Interactive Workshop for the Identification of Use Cases and Affordances of Telepresence Robots
(-0001)
Presentation / Conference Contribution
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: discovery-access-systems@nottingham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search