Aesthetic preference for art can be predicted from a mixture of low- and high-level visual features.
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ABSTRACT:
SUBMITTER: Iigaya K
PROVIDER: S-EPMC8494016 | biostudies-literature | 2021 Jun
REPOSITORIES: biostudies-literature
Publications
Aesthetic preference for art can be predicted from a mixture of low- and high-level visual features.
Iigaya Kiyohito K Yi Sanghyun S Wahle Iman A IA Tanwisuth Koranis K O'Doherty John P JP
Nature human behaviour 20210520 6
It is an open question whether preferences for visual art can be lawfully predicted from the basic constituent elements of a visual image. Here, we developed and tested a computational framework to investigate how aesthetic values are formed. We show that it is possible to explain human preferences for a visual art piece based on a mixture of low- and high-level features of the image. Subjective value ratings could be predicted not only within but also across individuals, using a regression mode ...[more]
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