Musicians and non-musicians show different preference profiles for single chords of varying harmonic complexity

Maria Witek*, Tomas Matthews, Rebeka Bodak, Marta Blausz, Virginia Penhune, Peter Vuust

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

23 Downloads (Pure)


The inverted U hypothesis in music predicts that listeners prefer intermediate levels of complexity. However, the shape of the liking response to harmonic complexity and the effect of musicianship remains unclear. Here, we tested whether the relationship between liking and harmonic complexity in single chords shows an inverted U shape and whether this U shape is different for musicians and non-musicians. We recorded these groups’ liking ratings for four levels of harmonic complexity, indexed by their level of acoustic roughness, as well as several measures of inter-individual difference. Results showed that there is an inverted U-shaped relationship between harmonic complexity and liking in both musicians and non-musicians, but that the shape of the U is different for the two groups. Non-musicians’ U is more left-skewed, with peak liking for low harmonic complexity, while musicians’ U is more right-skewed, with highest ratings for medium and low complexity. Furthermore, musicians who showed greater liking for medium compared to low complexity chords reported higher levels of active musical engagement and higher levels of openness to experience. This suggests that a combination of practical musical experience and personality is reflected in musicians’ inverted U-shaped preference response to harmonic complexity in chords.

Original languageEnglish
Article numbere0281057
Number of pages16
JournalPLOS One
Issue number2
Publication statusPublished - 2 Feb 2023


  • Biology and life sciences
  • Physical sciences
  • Research Article
  • Science policy
  • Social sciences


Dive into the research topics of 'Musicians and non-musicians show different preference profiles for single chords of varying harmonic complexity'. Together they form a unique fingerprint.

Cite this