ArticleScientific reports2022
Regularity of colour statistics in explaining colour composition preferences in art paintings.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
7 citing papers in PubMed.
- The Minimum Semantic Content (MSC) Dataset: A Large, Balanced Resource for Computational Aesthetics Research.Scientific data · 2026Article
- Effects of hue and orientation on naturalness and preference: evidence from concrete and abstract art.Frontiers in psychology · 2026Article
- Original art paintings are chosen over their "color-rotated" versions because of changed color contrast.Perception · 2025Article
- Natural color composition induces oddball P3 asymmetry associated with processing fluency.Scientific reports · 2025Article
- The perceived beauty of art is not strongly calibrated to the statistical regularities of real-world scenes.Scientific reports · 2024Article
- Time-of-day perception in paintings.Journal of vision · 2024Article
- Chromatic and spatial image statistics predict infants' visual preferences and adults' aesthetic preferences for art.Journal of vision · 2023Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
This study explores the role of colour statistics in painting preferences and tests the 'matching-to-nature' hypothesis which posits that the preference for the colour composition of paintings depends on the extent to which the paintings resemble the colour statistics of natural scenes. A preference judgement experiment was conducted with 31,353 participants using original and hue-rotated versions of 1,200 paintings. Multiple regression analyses were performed between the measured preferences and paintings' colour statistics to reveal which colour statistics explained the preference data and to what extent. The colour statistics of art paintings that explained the preference data were compared to the colour statistics of natural scenes. The results identified the colour statistics that significantly contributed to explaining painting preferences, and the distributions of the paintings' colour statistics systematically differed from those of natural scenes. These findings suggest that the human visual system encodes colour statistics to make aesthetic judgements based on the artistic merit of colour compositions, and not on their similarity to natural scenes.
Identifiers
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Registered trials
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