Diurnal fluctuations in musical preference
The rhythm of human life is governed by diurnal cycles, as a result of endogenous circadian processes evolved to maximize biological fitness. Even complex aspects of daily life, such as affective states, exhibit systematic diurnal patterns which in turn influence behaviour. As a result, previous res...
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The Royal Society
2021
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oai:doaj.org-article:1766a230ed064353a33e47e4eac681432021-11-10T08:06:33ZDiurnal fluctuations in musical preference10.1098/rsos.2108852054-5703https://doaj.org/article/1766a230ed064353a33e47e4eac681432021-11-01T00:00:00Zhttps://royalsocietypublishing.org/doi/10.1098/rsos.210885https://doaj.org/toc/2054-5703The rhythm of human life is governed by diurnal cycles, as a result of endogenous circadian processes evolved to maximize biological fitness. Even complex aspects of daily life, such as affective states, exhibit systematic diurnal patterns which in turn influence behaviour. As a result, previous research has identified population-level diurnal patterns in affective preference for music. By analysing audio features from over two billion music streaming events on Spotify, we find that the music people listen to divides into five distinct time blocks corresponding to morning, afternoon, evening, night and late night/early morning. By integrating an artificial neural network with Spotify's API, we show a general awareness of diurnal preference in playlists, which is not present to the same extent for individual tracks. Our results demonstrate how music intertwines with our daily lives and highlight how even something as individual as musical preference is influenced by underlying diurnal patterns.Ole Adrian HeggliJan StupacherPeter VuustThe Royal Societyarticlemusicdigital tracesdiurnal patternsmusic information retrievalaudio featuresScienceQENRoyal Society Open Science, Vol 8, Iss 11 (2021) |
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DOAJ |
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DOAJ |
| language |
EN |
| topic |
music digital traces diurnal patterns music information retrieval audio features Science Q |
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music digital traces diurnal patterns music information retrieval audio features Science Q Ole Adrian Heggli Jan Stupacher Peter Vuust Diurnal fluctuations in musical preference |
| description |
The rhythm of human life is governed by diurnal cycles, as a result of endogenous circadian processes evolved to maximize biological fitness. Even complex aspects of daily life, such as affective states, exhibit systematic diurnal patterns which in turn influence behaviour. As a result, previous research has identified population-level diurnal patterns in affective preference for music. By analysing audio features from over two billion music streaming events on Spotify, we find that the music people listen to divides into five distinct time blocks corresponding to morning, afternoon, evening, night and late night/early morning. By integrating an artificial neural network with Spotify's API, we show a general awareness of diurnal preference in playlists, which is not present to the same extent for individual tracks. Our results demonstrate how music intertwines with our daily lives and highlight how even something as individual as musical preference is influenced by underlying diurnal patterns. |
| format |
article |
| author |
Ole Adrian Heggli Jan Stupacher Peter Vuust |
| author_facet |
Ole Adrian Heggli Jan Stupacher Peter Vuust |
| author_sort |
Ole Adrian Heggli |
| title |
Diurnal fluctuations in musical preference |
| title_short |
Diurnal fluctuations in musical preference |
| title_full |
Diurnal fluctuations in musical preference |
| title_fullStr |
Diurnal fluctuations in musical preference |
| title_full_unstemmed |
Diurnal fluctuations in musical preference |
| title_sort |
diurnal fluctuations in musical preference |
| publisher |
The Royal Society |
| publishDate |
2021 |
| url |
https://doaj.org/article/1766a230ed064353a33e47e4eac68143 |
| work_keys_str_mv |
AT oleadrianheggli diurnalfluctuationsinmusicalpreference AT janstupacher diurnalfluctuationsinmusicalpreference AT petervuust diurnalfluctuationsinmusicalpreference |
| _version_ |
1718440352214417408 |