Lamont
Do the shuffle: Exploring reasons for music listening through shuffled play
Lamont
Authors
Abstract
Adults listen to music for an average of 18 hours a week (with some people reaching more than double that). With rapidly changing technology, music collections have become overwhelmingly digital ushering in changes in listening habits, especially when it comes to listening on personal devices. By using interactive visualizations, descriptive analysis and thematic analysis, this project aims to explore why people download and listen to music and which aspects of the music listening experience are prioritized when people talk about tracks on their device. Using a newly developed data collection method, Shuffled Play, 397 participants answered open-ended and closed research questions through a short online questionnaire after shuffling their music library and playing two pieces as prompts for reflections. The findings of this study highlight that when talking about tracks on their personal devices, people prioritise characterizing them using sound and musical features and associating them with the informational context around them (artist, album, and genre) over their emotional responses to them. The results also highlight that people listen to and download music because they like it-a straightforward but important observation that is sometimes glossed over in previous research. These findings have implications for future work in understanding music, its uses and its functions in peoples' everyday lives.
Citation
Lamont. (2020). Do the shuffle: Exploring reasons for music listening through shuffled play. PloS one, https://doi.org/10.1371/journal.pone.0228457
Acceptance Date | Jan 31, 2020 |
---|---|
Publication Date | Feb 6, 2020 |
Journal | PloS one |
Print ISSN | 1932-6203 |
Publisher | Public Library of Science |
DOI | https://doi.org/10.1371/journal.pone.0228457 |
Keywords | music, listening. |
Publisher URL | https://doi.org/10.1371/journal.pone.0228457 |
Files
journal.pone.0228457.pdf
(1.5 Mb)
PDF
Publisher Licence URL
https://creativecommons.org/licenses/by/4.0/
Downloadable Citations
About Keele Repository
Administrator e-mail: research.openaccess@keele.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search