Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Asynchrony enhances uncanniness in human, android, and virtual dynamic facial expressions

Diel, Alexander, Sato, Wataru, Hsu, Chun-Ting and Minato, Takashi 2023. Asynchrony enhances uncanniness in human, android, and virtual dynamic facial expressions. BMC Research Notes 16 (1) , 368. 10.1186/s13104-023-06648-w

[thumbnail of 13104_2023_Article_6648.pdf] PDF - Published Version
Available under License Creative Commons Attribution.

Download (1MB)

Abstract

Objective: Uncanniness plays a vital role in interactions with humans and artificial agents. Previous studies have shown that uncanniness is caused by a higher sensitivity to deviation or atypicality in specialized categories, such as faces or facial expressions, marked by configural processing. We hypothesized that asynchrony, understood as a temporal deviation in facial expression, could cause uncanniness in the facial expression. We also hypothesized that the effect of asynchrony could be disrupted through inversion. Results: Sixty-four participants rated the uncanniness of synchronous or asynchronous dynamic face emotion expressions of human, android, or computer-generated (CG) actors, presented either upright or inverted. Asynchrony vs. synchrony expressions increased uncanniness for all upright expressions except for CG angry expressions. Inverted compared with upright presentations produced less evident asynchrony effects for human angry and android happy expressions. These results suggest that asynchrony can cause dynamic expressions to appear uncanny, which is related to configural processing but different across agents.

Item Type: Article
Date Type: Published Online
Status: Published
Schools: Schools > Psychology
Additional Information: License information from Publisher: LICENSE 1: URL: http://creativecommons.org/licenses/by/4.0/, Type: open-access
Publisher: BioMed Central
ISSN: 1756-0500
Date of First Compliant Deposit: 13 December 2023
Date of Acceptance: 30 November 2023
Last Modified: 13 Dec 2023 10:30
URI: https://orca.cardiff.ac.uk/id/eprint/164781

Actions (repository staff only)

Edit Item Edit Item

Downloads

Downloads per month over past year

View more statistics