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Syncopation, Body-Movement and Pleasure in Groove Music

Overview of attention for article published in PLOS ONE, April 2014
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Title
Syncopation, Body-Movement and Pleasure in Groove Music
Published in
PLOS ONE, April 2014
DOI 10.1371/journal.pone.0094446
Pubmed ID
Authors

Maria A. G. Witek, Eric F. Clarke, Mikkel Wallentin, Morten L. Kringelbach, Peter Vuust

Abstract

Moving to music is an essential human pleasure particularly related to musical groove. Structurally, music associated with groove is often characterised by rhythmic complexity in the form of syncopation, frequently observed in musical styles such as funk, hip-hop and electronic dance music. Structural complexity has been related to positive affect in music more broadly, but the function of syncopation in eliciting pleasure and body-movement in groove is unknown. Here we report results from a web-based survey which investigated the relationship between syncopation and ratings of wanting to move and experienced pleasure. Participants heard funk drum-breaks with varying degrees of syncopation and audio entropy, and rated the extent to which the drum-breaks made them want to move and how much pleasure they experienced. While entropy was found to be a poor predictor of wanting to move and pleasure, the results showed that medium degrees of syncopation elicited the most desire to move and the most pleasure, particularly for participants who enjoy dancing to music. Hence, there is an inverted U-shaped relationship between syncopation, body-movement and pleasure, and syncopation seems to be an important structural factor in embodied and affective responses to groove.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 374 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 2%
United Kingdom 4 1%
France 2 <1%
Netherlands 2 <1%
Denmark 2 <1%
Australia 1 <1%
Belgium 1 <1%
Japan 1 <1%
Germany 1 <1%
Other 2 <1%
Unknown 351 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 73 20%
Student > Bachelor 51 14%
Student > Master 48 13%
Researcher 47 13%
Student > Doctoral Student 23 6%
Other 73 20%
Unknown 59 16%
Readers by discipline Count As %
Psychology 100 27%
Arts and Humanities 52 14%
Neuroscience 36 10%
Computer Science 16 4%
Agricultural and Biological Sciences 15 4%
Other 82 22%
Unknown 73 20%