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Cross-Cultural Color-Odor Associations

Overview of attention for article published in PLOS ONE, July 2014
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Title
Cross-Cultural Color-Odor Associations
Published in
PLOS ONE, July 2014
DOI 10.1371/journal.pone.0101651
Pubmed ID
Authors

Carmel A. Levitan, Jiana Ren, Andy T. Woods, Sanne Boesveldt, Jason S. Chan, Kirsten J. McKenzie, Michael Dodson, Jai A. Levin, Christine X. R. Leong, Jasper J. F. van den Bosch

Abstract

Colors and odors are associated; for instance, people typically match the smell of strawberries to the color pink or red. These associations are forms of crossmodal correspondences. Recently, there has been discussion about the extent to which these correspondences arise for structural reasons (i.e., an inherent mapping between color and odor), statistical reasons (i.e., covariance in experience), and/or semantically-mediated reasons (i.e., stemming from language). The present study probed this question by testing color-odor correspondences in 6 different cultural groups (Dutch, Netherlands-residing-Chinese, German, Malay, Malaysian-Chinese, and US residents), using the same set of 14 odors and asking participants to make congruent and incongruent color choices for each odor. We found consistent patterns in color choices for each odor within each culture, showing that participants were making non-random color-odor matches. We used representational dissimilarity analysis to probe for variations in the patterns of color-odor associations across cultures; we found that US and German participants had the most similar patterns of associations, followed by German and Malay participants. The largest group differences were between Malay and Netherlands-resident Chinese participants and between Dutch and Malaysian-Chinese participants. We conclude that culture plays a role in color-odor crossmodal associations, which likely arise, at least in part, through experience.

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Geographical breakdown

Country Count As %
United Kingdom 3 3%
Japan 1 <1%
Germany 1 <1%
Luxembourg 1 <1%
Unknown 98 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 20%
Researcher 14 13%
Student > Master 14 13%
Student > Bachelor 9 9%
Student > Doctoral Student 5 5%
Other 17 16%
Unknown 24 23%
Readers by discipline Count As %
Psychology 28 27%
Agricultural and Biological Sciences 10 10%
Computer Science 7 7%
Design 6 6%
Neuroscience 5 5%
Other 23 22%
Unknown 25 24%