Decomposing complexity preferences for music
Source
Frontiers in Psychology, 10, (2019), article 674ISSN
Publication type
Article / Letter to editor
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Organization
SW OZ DCC AI
SW OZ DCC CO
Journal title
Frontiers in Psychology
Volume
vol. 10
Languages used
English (eng)
Subject
Action, intention, and motor control; Cognitive artificial intelligenceAbstract
Recently, we demonstrated complexity as a major factor for explaining individual differences in visual preferences for abstract digital art. We have shown that participants could best be separated into two groups based on their liking ratings for abstract digital art comprising geometric patterns: one group with a preference for complex visual patterns and another group with a preference for simple visual patterns. In the present study, building up on these results, we extended our investigations for complexity preferences from highly controlled visual stimuli to ecologically valid stimuli in the auditory modality. Similar to visual preferences, we showed that music preferences are highly influenced by stimulus complexity. We demonstrated this by clustering a large number of participants based on their liking ratings for song excerpts from various musical genres. Our results show that, based on their liking ratings, participants can best be separated into two groups: one group with a preference for more complex songs and another group with a preference for simpler songs. Finally, we considered various demographic and personal characteristics to explore differences between the groups, and reported that at least for the current data set age and gender to be significant factors separating the two groups.
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- Academic publications [246860]
- Electronic publications [134292]
- Faculty of Social Sciences [30549]
- Open Access publications [107812]
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