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Testing Whether and When Abstract Symmetric Patterns Produce Affective Responses

Overview of attention for article published in PLOS ONE, July 2013
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Title
Testing Whether and When Abstract Symmetric Patterns Produce Affective Responses
Published in
PLOS ONE, July 2013
DOI 10.1371/journal.pone.0068403
Pubmed ID
Authors

Marco Bertamini, Alexis Makin, Anna Pecchinenda

Abstract

Symmetry has a central role in visual art, it is often linked to beauty, and observers can detect it efficiently in the lab. We studied what kind of fast and automatic responses are generated by visual presentation of symmetrical patterns. Specifically, we tested whether a brief presentation of novel symmetrical patterns engenders positive affect using a priming paradigm. The abstract patterns were used as primes in a pattern-word interference task. To ensure that familiarity was not a factor, no pattern and no word was ever repeated within each experiment. The task was to classify words that were selected to have either positive or negative valence. We tested irregular patterns, patterns containing vertical and horizontal reflectional symmetry, and patterns containing a 90 deg rotation. In a series of 7 experiments we found that the effect of affective congruence was present for both types of regularity but only when observers had to classify the regularity of the pattern after responding to the word. The findings show that processing abstract symmetrical shapes or random pattern can engender positive or negative affect as long as the regularity of the pattern is a feature that observers have to attend to and classify.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 4%
United Kingdom 1 2%
Austria 1 2%
Unknown 48 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 19%
Student > Master 7 13%
Researcher 7 13%
Student > Bachelor 5 10%
Student > Doctoral Student 4 8%
Other 12 23%
Unknown 7 13%
Readers by discipline Count As %
Psychology 27 52%
Agricultural and Biological Sciences 4 8%
Medicine and Dentistry 3 6%
Engineering 2 4%
Neuroscience 2 4%
Other 5 10%
Unknown 9 17%