Emotional palette: a computational mapping of aesthetic experiences evoked by visual art

Open Access
Authors
  • A.S. Cowen
Publication date 27-08-2024
Journal Scientific Reports
Article number 19932
Volume | Issue number 14
Number of pages 12
Organisations
  • Faculty of Social and Behavioural Sciences (FMG) - Psychology Research Institute (PsyRes)
Abstract

Despite the evolutionary history and cultural significance of visual art, the structure of aesthetic experiences it evokes has only attracted recent scientific attention. What kinds of experience does visual art evoke? Guided by Semantic Space Theory, we identify the concepts that most precisely describe people's aesthetic experiences using new computational techniques. Participants viewed 1457 artworks sampled from diverse cultural and historical traditions and reported on the emotions they felt and their perceived artwork qualities. Results show that aesthetic experiences are high-dimensional, comprising 25 categories of feeling states. Extending well beyond hedonism and broad evaluative judgments (e.g., pleasant/unpleasant), aesthetic experiences involve emotions of daily social living (e.g., "sad", "joy"), the imagination (e.g., "psychedelic", "mysterious"), profundity (e.g., "disgust", "awe"), and perceptual qualities attributed to the artwork (e.g., "whimsical", "disorienting"). Aesthetic emotions and perceptual qualities jointly predict viewers' liking of the artworks, indicating that we conceptualize aesthetic experiences in terms of the emotions we feel but also the qualities we perceive in the artwork. Aesthetic experiences are often mixed and lie along continuous gradients between categories rather than within discrete clusters. Our collection of artworks is visualized within an interactive map ( https://barradeau.com/2021/emotions-map/ ), revealing the high-dimensional space of aesthetic experiences associated with visual art.

Document type Article
Note With supplementary file
Language English
Published at https://doi.org/10.1038/s41598-024-69686-9
Other links https://www.scopus.com/pages/publications/85202617687
Downloads
s41598-024-69686-9 (Final published version)
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