Domain-general and -specific individual difference predictors of an uncanny valley and uncanniness effects

Diel, Alexander and Lewis, Michael ORCID: https://orcid.org/0000-0002-5735-5318 2024. Domain-general and -specific individual difference predictors of an uncanny valley and uncanniness effects. Computers in Human Behavior: Artificial Humans 2 (1) , 100041. 10.1016/j.chbah.2024.100041

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Abstract

Near humanlike artificial entities can appear eerie or uncanny. This uncanny valley is here investigated by testing five individual difference measures as predictors of uncanniness throughout a variety of stimuli. Coulrophobia predicted uncanniness of distorted faces, bodies, and androids and clowns; disgust sensitivity predicted the uncanniness of some distorted faces; the anxiety facet of neuroticism predicted the uncanniness of some distorted faces, bodies, and voices; deviancy aversion and need for structure predicted uncanniness of distorted places and voices. Taken together, the results suggest that while uncanniness can be caused by multiple, domain-independent (e.g., deviancy aversion) and domain-specific (e.g., disease avoidance) mechanisms, the uncanniness of androids specifically may be related to a fear of clowns, potentially due to a dislike of exaggerated human proportions.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Psychology
Additional Information:	License information from Publisher: LICENSE 1: URL: http://creativecommons.org/licenses/by-nc-nd/4.0/, Start Date: 2024-01-05
Publisher:	Elsevier
ISSN:	2949-8821
Date of First Compliant Deposit:	9 January 2024
Date of Acceptance:	5 January 2024
Last Modified:	14 Feb 2024 14:17
URI:	https://orca.cardiff.ac.uk/id/eprint/165362

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