47 research outputs found

    Maxims or myths of beauty? A meta-analytic and theoretical review.

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    Sexual Selection, Physical Attractiveness, and Facial Neoteny: Cross-cultural Evidence and Implications [and Comments and Reply]

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    Physical attractiveness and its relation to the theory of sexual selection deserve renewed attention from cultural and biological anthropologists. This paper focuses on an anomaly associated with physical attractiveness-in our species, in contrast to many others, males seem to be more concerned than females with the attractiveness of potential sexual partners, perhaps because humans show far more age-related variance in female than in male fecundity. The resulting selection for male attraction to markers of female youth may lead incidentally to attraction to females displaying age-related cues in an exaggerated form. This paper reports cross-cultural evidence that males in five populations (Brazilians, U.S. Americans, Russians, Ache, and Hiwi) show an attraction to females with neotenous facial proportions (a combination of large eyes, small noses, and full lips) even after female age is controlled for. Two further studies show that female models have neotenous cephalofacial proportions relative to U.S. undergraduates and that drawings of faces artificially transformed to make them more or less neotenous are perceived as correspondingly more or less attractive. These results suggest several further lines of investigation, including the relationship between facial and bodily cues and the consequences of attraction to neoteny for morphological evolutio

    Attractive Faces Are Only Average

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    Scientists and philosophers have searched for centuries for a parsimonious answer to the question of what constitutes beauty. We approached this problem from both an evolutionary and information-processing rationale and predicted that faces representing the average value of the population would be consistently judged as attractive. To evaluate this hypothesis, we digitized samples of male and female faces, mathematically averaged them, and had adults judge the attractiveness of both the individual faces and the computer-generated composite images. Both male (three samples) and female (three samples) composite faces were judged as more attractive than almost all the individual faces comprising the composites. A strong linear trend also revealed that the composite faces became more attractive as more faces were entered. These data showing that attractive faces are only average are consistent with evolutionary pressures that favor characteristics close to the mean of the population and with cognitive processes that favor prototypical category members

    Children\u27s attractiveness, gender, and race biases: A comparison of their strength and generality

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    Although research suggests that facial attractiveness biases significantly affect social development and interactions, these biases are understudied in the developmental literature and are overlooked when designing interventions relative to gender and race. The authors, therefore, compared how much bias 3- to 11-year-olds (N = 102) displayed in the three domains. They also examined whether bias and flexibility (understanding that different social groups can possess similar attributes) were related across domains. Children\u27s attractiveness biases, particularly for girl targets, were as strong as or stronger than gender or race biases. Flexibility, but not bias, was related across domains. Developmental scientists and policy makers should increase efforts toward understanding development of attractiveness biases and determine which methods of teaching flexibility are most successful at reducing bias across domains

    Computational Models of Facial Attractiveness Judgments

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    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 measurements between features as inputs, though we took the additional step of dimensionality reduction via principal component analysis (PCA) and weighting of PCA dimensions via a perceptron. Strikingly, both models produced estimates of facial attractiveness that were indistinguishable from human ratings. Because PLS extracts a small number of image factors from the facial images that covary with attractiveness ratings of the images, it is possible to determine the information used by the model. The image factors that the model discovered correspond to two of the main contemporary hypotheses of averageness judgments: facial attrac- tiveness and sexual dimorphism. In contrast, facial symmetry was not important to the model, and an explicit feature-based measurement of symmetry was not correlated with human judgments of facial attractiveness. This provides novel evidence for the importance of averageness and sexual dimorphism, but not symmetry, in human judgments of facial attractiveness
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