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Trait attribution explains human–robot interactions

Published online by Cambridge University Press:  05 April 2023

Yochanan E. Bigman Open the ORCID record for Yochanan E. Bigman [Opens in a new window] ,
Nicholas Surdel  and
Melissa J. Ferguson Open the ORCID record for Melissa J. Ferguson [Opens in a new window]
Yochanan E. Bigman
Affiliation:
The Hebrew University Business School, The Hebrew University of Jerusalem, Jerusalem 9190501, Israel yochanan.bigman@mail.huji.ac.il https://ybigman.wixsite.com/ybigman
Nicholas Surdel
Affiliation:
Department of Psychology, Yale University, New Haven, CT 06520-8205, USA nicholas.surdel@yale.edu melissaj.ferguson@gmail.com https://www.linkedin.com/in/nsurdel www.fergusonlab.com
Melissa J. Ferguson
Affiliation:
Department of Psychology, Yale University, New Haven, CT 06520-8205, USA nicholas.surdel@yale.edu melissaj.ferguson@gmail.com https://www.linkedin.com/in/nsurdel www.fergusonlab.com
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Abstract

Clark and Fischer (C&F) claim that trait attribution has major limitations in explaining human–robot interactions. We argue that the trait attribution approach can explain the three issues posited by C&F. We also argue that the trait attribution approach is parsimonious, as it assumes that the same mechanisms of social cognition apply to human–robot interaction.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 46 , 2023 , e23
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Copyright
Copyright © The Author(s), 2023. Published by Cambridge University Press

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