A new perspective on robot ethics through investigating human–robot interactions with older adults

van Maris, Anouk; Zook, Nancy; Dogramadzi, Sanja; Studley, Matthew; Winfield, Alan; Caleb-Solly, Praminda

Abstract

This work explored the use of human–robot interaction research to investigate robot ethics. A longitudinal human–robot interaction study was conducted with self-reported healthy older adults to determine whether expression of artificial emotions by a social robot could result in emotional deception and emotional attachment. The findings from this study have highlighted that currently there appears to be no adequate tools, or the means, to determine the ethical impact and concerns ensuing from long-term interactions between social robots and older adults. This raises the question whether we should continue the fundamental development of social robots if we cannot determine their potential negative impact and whether we should shift our focus to the development of human–robot interaction assessment tools that provide more objective measures of ethical impact.

Citation

van Maris, A., Zook, N., Dogramadzi, S., Studley, M., Winfield, A., & Caleb-Solly, P. (2021). A new perspective on robot ethics through investigating human–robot interactions with older adults. Applied Sciences, 11(21), Article 10136. https://doi.org/10.3390/app112110136

• Journal Article Type: Article
• Acceptance Date: Oct 27, 2021
• Online Publication Date: Oct 29, 2021
• Publication Date: Nov 1, 2021
• Deposit Date: Dec 16, 2021
• Publicly Available Date: Dec 17, 2021
• Journal: Applied Sciences (Switzerland)
• Electronic ISSN: 2076-3417
• Publisher: MDPI
• Peer Reviewed: Peer Reviewed
• Volume: 11
• Issue: 21
• Article Number: 10136
• Edition: Special Issue "Social Robotics and Human-Robot Interaction (HRI)"
• DOI: https://doi.org/10.3390/app112110136
• Keywords: Fluid Flow and Transfer Processes; Computer Science Applications; Process Chemistry and Technology; General Engineering; Instrumentation; General Materials Science
• Public URL: https://nottingham-repository.worktribe.com/output/7021943
• Publisher URL: https://www.mdpi.com/2076-3417/11/21/10136