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The impact of affective verbal expressions in social robots

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

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Authors

Alexander Sutherland

Alexandre Mazel

Nancy Zook Nancy.Zook@uwe.ac.uk
Associate Professor in Psychology

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Dr Matthew Studley Matthew2.Studley@uwe.ac.uk
Professor of Ethics & Technology/School Director (Research & Enterprise)

Praminda Caleb-Solly



Abstract

This research investigates whether there is an ethical concern in robots misrepresenting their internal state through speech. Participants were asked to discuss their food preferences with a robot, where the robot would either respond through facts or an implied personal stance. Results show that there are no significant differences in the way participants perceived the robot or accepted the interaction; nor that the interaction influenced their mood. This indicates that the use of personal opinion by a robot does not significantly impact participants' opinion of the robot and therefore may not necessarily be a concern in human-robot interactions.

Citation

van Maris, A., Sutherland, A., Mazel, A., Dogramadzi, S., Zook, N., Studley, M., …Caleb-Solly, P. (2020). The impact of affective verbal expressions in social robots. . https://doi.org/10.1145/3371382.3378358

Conference Name HRI '20: ACM/IEEE International Conference on Human-Robot Interaction
Conference Location Cambridge United Kingdom
Start Date Mar 23, 2020
Acceptance Date Jan 7, 2020
Publication Date Mar 23, 2020
Deposit Date Mar 7, 2021
Publicly Available Date Mar 29, 2024
Pages 508-510
ISBN 9781450370578
DOI https://doi.org/10.1145/3371382.3378358
Public URL https://uwe-repository.worktribe.com/output/7190208
Publisher URL https://dl.acm.org/doi/pdf/10.1145/3371382.3378358

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Copyright Statement
© {Van Maris | ACM} {2021}. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in HRI '20: Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction, http://dx.doi.org/10.1145/3371382.3378358.







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