ArticleScientific reports2020
A new data-driven mathematical model dissociates attractiveness from sexual dimorphism of human faces.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- The differences in essential facial areas for impressions between humans and deep learning models: An eye-tracking and explainable AI approach.British journal of psychology (London, England : 1953) · 2026Article
- Sexual Dimorphism: The Interrelation of Shape and Color.Archives of sexual behavior · 2024Article
- Sex classification of 3D skull images using deep neural networks.Scientific reports · 2024Article
- Intra-group differences in skin tone influence evaluative and perceptual face processing.PloS one · 2024Article
- A computational approach to investigating facial attractiveness factors using geometric morphometric analysis and deep learning.Scientific reports · 2023Article
- Red background color biases gender categorization of human faces.Scientific reports · 2023Article
- Attractiveness Evaluation and Identity of Self-face: The Effect of Sexual Dimorphism.i-Perception · 2021Article
- Skin Color and Attractiveness Modulate Empathy for Pain: An Event-Related Potential Study.Frontiers in psychology · 2021Article
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2 authors.
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Abstract
Human facial attractiveness is evaluated by using multiple cues. Among others, sexual dimorphism (i.e. masculinity for male faces/femininity for female faces) is an influential factor of perceived attractiveness. Since facial attractiveness is judged by incorporating sexually dimorphic traits as well as other cues, it is theoretically possible to dissociate sexual dimorphism from facial attractiveness. This study tested this by using a data-driven mathematical modelling approach. We first analysed the correlation between perceived masculinity/femininity and attractiveness ratings for 400 computer-generated male and female faces (Experiment 1) and found positive correlations between perceived femininity and attractiveness for both male and female faces. Using these results, we manipulated a set of faces along the attractiveness dimension while controlling for sexual dimorphism by orthogonalisation with data-driven mathematical models (Experiment 2). Our results revealed that perceived attractiveness and sexual dimorphism are dissociable, suggesting that there are as yet unidentified facial cues other than sexual dimorphism that contribute to facial attractiveness. Future studies can investigate the true preference of sexual dimorphism or the genuine effects of attractiveness by using well-controlled facial stimuli like those that this study generated. The findings will be of benefit to the further understanding of what makes a face attractive.
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