van Maris, A., Zook, N., Dogramadzi, S. orcid.org/0000-0002-0009-7522 et al. (3 more authors) (2021) A new perspective on robot ethics through investigating human–robot interactions with older adults. Applied Sciences, 11 (21). 10136.
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.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2021 The Authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
Keywords: | social robot; older adults; ethics; deception; attachment |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) |
Funding Information: | Funder Grant number European Commission Directorate-General for Research and Innovation 721619 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 01 Nov 2021 10:38 |
Last Modified: | 01 Nov 2021 10:38 |
Status: | Published |
Publisher: | MDPI AG |
Refereed: | Yes |
Identification Number: | 10.3390/app112110136 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:179844 |