Evidence map›Paper›PMID 37526623›Full record

ArticleJournal of vision2023

Chromatic and spatial image statistics predict infants' visual preferences and adults' aesthetic preferences for art.

Philip McAdams, Megan Chambers, Jenny M Bosten, Alice E Skelton, Anna Franklin

Abstract read
In one paragraph

Article in Journal of vision, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Philip McAdamsThe Sussex Colour Group & Baby Lab, The School of Psychology, University of Sussex, Brighton, UK.
Megan ChambersThe Sussex Colour Group & Baby Lab, The School of Psychology, University of Sussex, Brighton, UK.
Jenny M BostenSussex Vision Lab, The School of Psychology, University of Sussex, Brighton, UK.
Alice E SkeltonThe Sussex Colour Group & Baby Lab, The School of Psychology, University of Sussex, Brighton, UK.
Anna FranklinThe Sussex Colour Group & Baby Lab, The School of Psychology, University of Sussex, Brighton, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aesthetics has been characterized as a triadic interaction of perceptual, emotional, and conceptual neural systems (e.g., Chatterjee & Vartanian, 2014). There has been much empirical effort to identify the visual features that contribute to the perceptual component of this triad (e.g., Mather, 2020). Here, we measured infants' visual preferences and adults' aesthetic preferences for 40 of van Gogh's landscape paintings and investigated the contribution of the chromatic and spatial image statistics of the art to infants' and adults' responses. We found that infants' and adults' responses were significantly related: infants looked longer at the art that the adults found more pleasant. We also found that our combination of chromatic and spatial image statistics could account for around two thirds of the variance in infant looking and adult pleasantness ratings. The amount of variation in the luminance and saturation of the art's pixels contributed to both infants' visual preferences and adults' aesthetic preferences, potentially identifying two "perceptual primitives" of aesthetics that can be traced back to early sensory biases in infancy. We also identified important differences in the types of image statistics that predict infants' and adults' responses. We discuss the findings in relation to theories of aesthetics, natural scene statistics, and infant vision and perception.

Indexed as

EmotionsPaintingsAdultEstheticsHumansInfant

Identifiers

PMID37526623
PMCPMC10399602

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.