Literature DB >> 16583768

Aesthetic phenomena as supernormal stimuli: the case of eye, lip, and lower-face size and roundness in artistic portraits.

Marco Costa1, Leonardo Corazza.   

Abstract

In the first study, eye and lip size and roundness, and lower-face roundness were compared between a control sample of 289 photographic portraits and an experimental sample of 776 artistic portraits covering the whole period of the history of art. Results showed that eye roundness, lip roundness, eye height, eye width, and lip height were significantly enhanced in artistic portraits compared to photographic ones. Lip width and lower-face roundness, on the contrary, were less prominent in artistic than in photographic portraits. In a second study, forty-two art academy students were requested to draw two self-portraits, one with a mirror and one without (from memory). Eye, lip, and lower-face roundness in artistic self-portraits was compared to the same features derived from photographic portraits of the participants. The results obtained confirmed those found in the first study. Eye and lip size and roundness were greater in artistic self-portraits, while lower-face roundness was significantly reduced. The same degree of modification was found also when a mirror was available to the subjects. In a third study the effect of lower-face roundness on the perception of attractiveness was assessed: fifty-three participants had to adjust the face width of 24 photographic portraits in order to achieve the highest level of attractiveness. Participants contracted the face width by a mean value of 5.26%, showing a preference for a reduced lower-face roundness. All results are discussed in terms of the importance of the 'supernormalisation' process as a means of assigning aesthetic value to perceptual stimuli.

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Year:  2006        PMID: 16583768     DOI: 10.1068/p3449

Source DB:  PubMed          Journal:  Perception        ISSN: 0301-0066            Impact factor:   1.490


  7 in total

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7.  Stochasticity, Nonlinear Value Functions, and Update Rules in Learning Aesthetic Biases.

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  7 in total

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