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Investigating preferences for color-shape combinations with gaze driven optimization method based on evolutionary algorithms

Overview of attention for article published in Frontiers in Psychology, January 2013
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Title
Investigating preferences for color-shape combinations with gaze driven optimization method based on evolutionary algorithms
Published in
Frontiers in Psychology, January 2013
DOI 10.3389/fpsyg.2013.00926
Pubmed ID
Authors

Tim Holmes, Johannes M. Zanker

Abstract

Studying aesthetic preference is notoriously difficult because it targets individual experience. Eye movements provide a rich source of behavioral measures that directly reflect subjective choice. To determine individual preferences for simple composition rules we here use fixation duration as the fitness measure in a Gaze Driven Evolutionary Algorithm (GDEA), which has been demonstrated as a tool to identify aesthetic preferences (Holmes and Zanker, 2012). In the present study, the GDEA was used to investigate the preferred combination of color and shape which have been promoted in the Bauhaus arts school. We used the same three shapes (square, circle, triangle) used by Kandinsky (1923), with the three color palette from the original experiment (A), an extended seven color palette (B), and eight different shape orientation (C). Participants were instructed to look for their preferred circle, triangle or square in displays with eight stimuli of different shapes, colors and rotations, in an attempt to test for a strong preference for red squares, yellow triangles and blue circles in such an unbiased experimental design and with an extended set of possible combinations. We Tested six participants extensively on the different conditions and found consistent preferences for color-shape combinations for individuals, but little evidence at the group level for clear color/shape preference consistent with Kandinsky's claims, apart from some weak link between yellow and triangles. Our findings suggest substantial inter-individual differences in the presence of stable individual associations of color and shapes, but also that these associations are robust within a single individual. These individual differences go some way toward challenging the claims of the universal preference for color/shape combinations proposed by Kandinsky, but also indicate that a much larger sample size would be needed to confidently reject that hypothesis. Moreover, these experiments highlight the vast potential of the GDEA methodology in experimental aesthetics and beyond.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Austria 1 3%
Unknown 30 97%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 6 19%
Student > Ph. D. Student 6 19%
Student > Bachelor 4 13%
Lecturer 2 6%
Researcher 2 6%
Other 1 3%
Unknown 10 32%
Readers by discipline Count As %
Psychology 14 45%
Arts and Humanities 1 3%
Agricultural and Biological Sciences 1 3%
Nursing and Health Professions 1 3%
Social Sciences 1 3%
Other 1 3%
Unknown 12 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 December 2013.
All research outputs
#14,184,832
of 22,736,112 outputs
Outputs from Frontiers in Psychology
#15,016
of 29,580 outputs
Outputs of similar age
#167,575
of 280,808 outputs
Outputs of similar age from Frontiers in Psychology
#629
of 969 outputs
Altmetric has tracked 22,736,112 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 29,580 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one is in the 46th percentile – i.e., 46% of its peers scored the same or lower than it.
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 280,808 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 969 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.