1,416
Views
7
CrossRef citations to date
0
Altmetric
Articles

The impact of face skin tone on perceived facial attractiveness: A study realized with an innovative methodology

Pages 580-590 | Received 02 Jan 2017, Accepted 07 Dec 2017, Published online: 10 Jan 2018
 

ABSTRACT

This study aimed to assess the impact of target faces’ skin tone and perceivers’ skin tone on the participants’ attractiveness judgment regarding a symmetrical representative range of target faces as stimuli. Presented with a set of facial features, 240 Mozambican adults rated their attractiveness along a continuous scale. ANOVA and Chi-square were used to analyze the data. The results revealed that the skin tone of the target faces had an impact on the participants’ attractiveness judgment. Overall, participants preferred light-skinned faces over dark-skinned ones. This finding is not only consistent with previous results on skin tone preferences, but it is even more powerful because it demonstrates that the light skin tone preference occurs regardless of the symmetry and baseline attractiveness of the stimuli.

Notes

1. Originally, the purpose of this study was to assess the relative contribution of skin tone and symmetry on judgment of beauty regarding female faces. Then the study was refined to focus on the effect of the target faces’ skin tone and the perceivers’ skin tone on attractiveness judgments while controlling for facial symmetry, after a suggestion from a reviewer.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 168.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.