Music preferences based on audio features, and its relation to personality

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Show simple item record Dunn, Greg 2009-08-03T06:22:20Z 2009-08-03T06:22:20Z 2009
dc.description.abstract Recent studies have summarized reported music preferences by genre into four broadly defined categories, which relate to various personality characteristics. Other research has indicated that genre classification is ambiguous and inconsistent. This ambiguity suggests that research relating personality to music preferences based on genre could benefit from a more objective definition of music. This problem is addressed by investigating how music preferences linked to objective audio features relate to personality. Participants (N = 354; 165 males) completed a personality measure and rated their preference to 120 music clips from various music (sub-)genres (e.g., classical, rock). Principle Components Analysis revealed a nine-component model that accounted for 61% of the variance in music preference ratings. Audio features computationally derived from the music clips were subsequently analysed to discriminate between music contained within each of these factors. In addition, participants’ estimated music preference scores to these factors were related to personality facets. Aggregated results showed, for example, that Excitement-Seeking was positively related to music with a greater number of percussive events while negatively related to music with fewer percussive events. Results are discussed in terms of how objective features can provide greater insight into how music preferences relate to personality. en
dc.format.extent 83-92
dc.language.iso eng
dc.rights openAccess fi
dc.subject.other Music Preferences en
dc.subject.other personalization en
dc.subject.other personality en
dc.subject.other Big Five traits en
dc.subject.other audio properties en
dc.title Music preferences based on audio features, and its relation to personality en
dc.type Article en
dc.identifier.urn URN:NBN:fi:jyu-2009411243
dc.type.dcmitype Text
dc.identifier.conference ESCOM 2009 : 7th Triennial Conference of European Society for the Cognitive Sciences of Music

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