Perceived health contributes to the attractiveness of facial symmetry, averageness, and sexual dimorphism.
نویسندگان
چکیده
Symmetry, averageness, and sexual dimorphism (femininity in female faces, masculinity in male faces) are attractive in faces. Many have suggested that preferences for these traits may be adaptations for identifying healthy mates. If they are, then the traits should be honest indicators of health and their attractiveness should result from their healthy appearance. Much research has focused on whether these traits honestly signal health. Here we focused on whether the appeal of these traits results from their healthy appearance. Specifically, we tested whether the attractiveness of symmetry, averageness, and sexual dimorphism is reduced or eliminated when perceived health is controlled, in two large samples of Western faces and a large sample of Japanese faces. The appeal of symmetric faces was largely due to their healthy appearance, with most associations between symmetry and attractiveness eliminated when perceived health was controlled. A healthy appearance also contributed to the appeal of averageness and femininity in female faces and masculinity in male faces, although it did not fully explain their appeal. These results show that perceptions of attractiveness are sensitive to a healthy appearance, and are consistent with the hypothesis that preferences may be adaptations for mate choice.
منابع مشابه
Predictors of facial attractiveness and health in humans
Facial attractiveness has been suggested to provide signals of biological quality, particularly health, in humans. The attractive traits that have been implicated as signals of biological quality include sexual dimorphism, symmetry, averageness, adiposity, and carotenoid-based skin colour. In this study, we first provide a comprehensive examination of the traits that predict attractiveness. In ...
متن کاملEffect of averageness and sexual dimorphism on the judgment of facial attractiveness
Effect of sexual dimorphism and averageness on the judgment of facial attractiveness was investigated. Participants (n=114) rated attractiveness of 96 facial photographs with neutral expressions. Principal component analyses were conducted on 80 facial feature points standardized via the generalized Procrustes method. Local regression analysis was used to obtain the distribution of attractivene...
متن کاملA statistical model of facial attractiveness.
Previous research has identified facial averageness and sexual dimorphism as important factors in facial attractiveness. The averageness and sexual dimorphism accounts provide important first steps in understanding what makes faces attractive, and should be valued for their parsimony. However, we show that they explain relatively little of the variance in facial attractiveness, particularly for...
متن کاملComputational models of facial attractiveness judgments.
We designed two computational models to replicate human facial attractiveness ratings. The primary model used partial least squares (PLS) to identify image factors associated with facial attractiveness from facial images and attractiveness ratings of those images. For comparison we also made a model similar to previous models of facial attractiveness, in that it used manually derived measuremen...
متن کاملShape analysis of female facial attractiveness
Previous studies have suggested that female facial attractiveness is associated with exaggerated sex-specific facial traits and averageness. Here we applied geometric morphometrics, a method for multivariate statistical analysis of shape, to measure geometric averageness and geometric sexual dimorphism of natural female face profiles. Geometric averageness and geometric sexual dimorphism correl...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Perception
دوره 36 8 شماره
صفحات -
تاریخ انتشار 2007