Emotion-driven encoding of music preference and personality in dance. (September 2014)

• Record Type: Journal Article
• Authors: Luck, Geoff; Saarikallio, Suvi; Burger, Birgitta; Thompson, Marc; Toiviainen, Petri
• Other Names: Luck Geoff guest-editor.
• Is Part Of: Musicae scientiae. Volume 18:Number 3(2014)
• Page Start: 307
• Page End: 323
• Publication Date: 2014-09
• Subjects: Big Five Inventory -- emotional arousal -- motion capture -- music preference -- music and dance -- personality; Music -- Psychological aspects -- Periodicals; 780
• DOI: 10.1177/1029864914537290
• Languages: English
• ISSNs: 1029-8649

Abstract

Thirty rhythmic music excerpts were presented to 60 individuals. Dance movements to each excerpt were recorded using an optical motion-capture system, preference for each excerpt recorded on a 5-point Likert scale, and personality assessed using the 44-item version of the Big Five Inventory. From the movement data, a large number of postural, kinematic and kinetic features were extracted, a subset of which were chosen for further analysis using sequential backward elimination with variance inflation factor (VIF) selection. Multivariate analyses revealed significant effects on these 11 features of both preference and personality, as well as a number of interactions between the two. As regards preference, a U-shaped curvilinear relationship between excerpt preference and amount of movement was identified, hypothesized to relate to the role of emotional arousal in guiding music preference and dance moves. As regards personality, a different pattern of movement characteristics was associated with each of the Big Five dimensions, broadly supporting previous work.