What is it about?
Using Bayesian statistics we demonstrate across 100 short extracts of unfamiliar music that affective responses of untrained listeners are very diverse, but show common traits: influence by acoustic intensity changes with time, and by spectral features. We assess how background tastes for music interact with these responses, showing that they have limited bearing when the music is highly unfamiliar.
Featured Image
Photo by Tyler Lastovich on Unsplash
Why is it important?
In a sense, the results imply the malleability of taste: people can rapidly identify salient features of unfamiliar music, regardless of their overall liking for it. This identification may well accelerate subsequent familiarisation and diversification of taste. as our related work on recommender systems for unfamiliar music also implies.
Perspectives
Read the Original
This page is a summary of: Continuous affect responses to a large diverse set of unfamiliar music: Bayesian time-series and cluster analyses., Psychomusicology Music Mind and Brain, April 2023, American Psychological Association (APA),
DOI: 10.1037/pmu0000295.
You can read the full text:
Contributors
The following have contributed to this page