A data-driven test for cross-cultural differences in face preferences

Zhang, L., Holzleitner, I. J. , Lee, A. J. , Wang, H., Han, C. , Fasolt, V., Debruine, L. M. and Jones, B. C. (2019) A data-driven test for cross-cultural differences in face preferences. Perception, 48(6), pp. 487-499. (doi: 10.1177/0301006619849382) (PMID:31068092)

185036.pdf - Accepted Version



Previous research has shown strong cross-cultural agreement in facial attractiveness judgments. However, these studies all used a theory-driven approach in which responses to specific facial characteristics are compared between cultures. This approach is constrained by the predictions that can be derived from existing theories and can therefore bias impressions of the extent of cross-cultural agreement in face preferences. We directly addressed this problem by using a data-driven, rather than theory-driven, approach to compare facial attractiveness judgments made by Chinese-born participants who were resident in China, Chinese-born participants currently resident in the UK, and UK-born and UK-resident White participants. Analyses of the principal components along which faces naturally varied suggested that Chinese and White UK participants used face information in different ways, at least when judging women’s facial attractiveness. In other words, the data-driven approach used in this study revealed some cross-cultural differences in face preferences that were not apparent in studies using theory-driven approaches.

Item Type:Articles
Additional Information:This research was funded by ERC grant KINSHIP awarded to LMD.
Glasgow Author(s) Enlighten ID:Han, Mr Chengyang and Wang, Dr Hongyi and DeBruine, Professor Lisa and Fasolt, Vanessa and Lee, Dr Anthony and Zhang, Lingshan and Jones, Professor Benedict and Holzleitner, Dr Iris
Authors: Zhang, L., Holzleitner, I. J., Lee, A. J., Wang, H., Han, C., Fasolt, V., Debruine, L. M., and Jones, B. C.
College/School:College of Medical Veterinary and Life Sciences
College of Medical Veterinary and Life Sciences > School of Psychology & Neuroscience
Journal Name:Perception
ISSN (Online):1468-4233
Published Online:08 May 2019
Copyright Holders:Copyright © 2019 The Authors
First Published:First published in Perception 48(6):487-499
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher

University Staff: Request a correction | Enlighten Editors: Update this record

Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
672531KINSHIP: How do humans recognise kin?Lisa DebruineEuropean Research Council (ERC)647910RI NEUROSCIENCE & PSYCHOLOGY