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Beauty in abstract paintings: perceptual contrast and statistical properties

Overview of attention for article published in Frontiers in Human Neuroscience, March 2014
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

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Title
Beauty in abstract paintings: perceptual contrast and statistical properties
Published in
Frontiers in Human Neuroscience, March 2014
DOI 10.3389/fnhum.2014.00161
Pubmed ID
Authors

Birgit Mallon, Christoph Redies, Gregor U. Hayn-Leichsenring

Abstract

In this study, we combined the behavioral and objective approach in the field of empirical aesthetics. First, we studied the perception of beauty by investigating shifts in evaluation on perceived beauty of abstract artworks (Experiment 1). Because the participants showed heterogeneous individual preferences for the paintings, we divided them into seven clusters for the test. The experiment revealed a clear pattern of perceptual contrast. The perceived beauty of abstract paintings increased after exposure to paintings that were rated as less beautiful, and it decreased after exposure to paintings that were rated as more beautiful. Next, we searched for correlations of beauty ratings and perceptual contrast with statistical properties of abstract artworks (Experiment 2). The participants showed significant preferences for particular image properties. These preferences differed between the clusters of participants. Strikingly, next to color measures like hue, saturation, value and lightness, the recently described Pyramid of Histograms of Orientation Gradients (PHOG) self-similarity value seems to be a predictor for aesthetic appreciation of abstract artworks. We speculate that the shift in evaluation in Experiment 1 was, at least in part, based on low-level adaptation to some of the statistical image properties analyzed in Experiment 2. In conclusion, our findings demonstrate that the perception of beauty in abstract artworks is altered after exposure to beautiful or non-beautiful images and correlates with particular image properties, especially color measures and self-similarity.

X Demographics

X Demographics

The data shown below were collected from the profiles of 20 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 117 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Turkey 1 <1%
Germany 1 <1%
Italy 1 <1%
Unknown 114 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 22%
Student > Master 20 17%
Researcher 14 12%
Student > Bachelor 10 9%
Student > Doctoral Student 7 6%
Other 23 20%
Unknown 17 15%
Readers by discipline Count As %
Psychology 40 34%
Arts and Humanities 13 11%
Neuroscience 12 10%
Computer Science 11 9%
Philosophy 4 3%
Other 18 15%
Unknown 19 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 February 2021.
All research outputs
#2,751,751
of 25,182,110 outputs
Outputs from Frontiers in Human Neuroscience
#1,302
of 7,638 outputs
Outputs of similar age
#26,714
of 229,984 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#36
of 129 outputs
Altmetric has tracked 25,182,110 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,638 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.9. This one has done well, scoring higher than 82% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 229,984 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 129 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.