Lingshan Zhang
A data-driven test for cross-cultural differences in face preferences
Zhang, Lingshan; Holzleitner, Iris J.; Lee, Anthony J.; Wang, Hongyi; Han, Chengyang; Fasolt, Vanessa; DeBruine, Lisa M.; Jones, Benedict C.
Authors
Iris J. Holzleitner
Anthony J. Lee
Hongyi Wang
Chengyang Han
Vanessa Fasolt
Lisa M. DeBruine
Benedict C. Jones
Abstract
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.
Journal Article Type | Article |
---|---|
Acceptance Date | Apr 18, 2019 |
Online Publication Date | May 8, 2019 |
Publication Date | Jun 1, 2019 |
Deposit Date | Jun 11, 2021 |
Journal | Perception |
Print ISSN | 0301-0066 |
Electronic ISSN | 1468-4233 |
Publisher | SAGE Publications |
Peer Reviewed | Peer Reviewed |
Volume | 48 |
Issue | 6 |
Pages | 487-499 |
DOI | https://doi.org/10.1177/0301006619849382 |
Keywords | face perception, body perception, individual differences, social cognition |
Public URL | https://uwe-repository.worktribe.com/output/7460696 |
Downloadable Citations
About UWE Bristol Research Repository
Administrator e-mail: repository@uwe.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search