research-article

Personalised But Impersonal: Listeners' Experiences of Algorithmic Curation on Music Streaming Services

Authors:

Sophie Freeman,

Bjorn NansenAuthors Info & Claims

CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

Article No.: 412, Pages 1 - 14

https://doi.org/10.1145/3544548.3581492

Published: 19 April 2023 Publication History

Abstract

The consumption of music is increasingly reliant on the personalisation, recommendation, and automated curation features of music streaming services. Using algorithm experience (AX) as a lens, we investigated the user experience of the algorithmic recommendation and automated curation features of several popular music streaming services. We conducted interviews and participant-observation with 15 daily users of music streaming services, followed by a design workshop. We found that despite the utility of increasingly algorithmic personalisation, listeners experienced these algorithmic and recommendation features as impersonal in determining their background listening, music discovery, and playlist curation. While listener desire for more control over recommendation settings is not new, we offer a number of novel insights about music listening to nuance this understanding, particularly through the notion of vibe.

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Cited By

Liu J(2025)Aggregating Contextual Information for Multi-Criteria Online Music RecommendationsIEEE Access10.1109/ACCESS.2025.352751213(8790-8805)Online publication date: 2025
https://doi.org/10.1109/ACCESS.2025.3527512
Deep GVerma J(2024)The Role of AI and Machine Learning in NeuromarketingNeurosensory and Neuromarketing Impacts on Consumer Behavior10.4018/979-8-3693-8222-6.ch008(177-196)Online publication date: 4-Oct-2024
https://doi.org/10.4018/979-8-3693-8222-6.ch008
Henry AWiratama VAfilipoaie ARanaivoson HArrivé E(2024)Impacts of AI on Music Consumption and FairnessEmerging Media10.1177/275235432412690472:3(382-396)Online publication date: 17-Sep-2024
https://doi.org/10.1177/27523543241269047
Show More Cited By

Index Terms

Personalised But Impersonal: Listeners' Experiences of Algorithmic Curation on Music Streaming Services
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Empirical studies in HCI

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cover image ACM Conferences

CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

April 2023

14911 pages

ISBN:9781450394215

DOI:10.1145/3544548

Editors:
Albrecht Schmidt
LMU Munich, Germany60028717
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Kaisa Väänänen
Tampere University, Finland60011170
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Tesh Goyal
Google Research, USA60006191
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Per Ola Kristensson
University of Cambridge, UK60031101
,
Anicia Peters
University of Namibia, Namibia60072704
,
Stefanie Mueller
Massachusetts Institute of Technology, USA60022195
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Julie R. Williamson
University of Glasgow, UK60001490
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Max L. Wilson
University of Nottingham, UK60015138

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Cited By

Liu J(2025)Aggregating Contextual Information for Multi-Criteria Online Music RecommendationsIEEE Access10.1109/ACCESS.2025.352751213(8790-8805)Online publication date: 2025
https://doi.org/10.1109/ACCESS.2025.3527512
Deep GVerma J(2024)The Role of AI and Machine Learning in NeuromarketingNeurosensory and Neuromarketing Impacts on Consumer Behavior10.4018/979-8-3693-8222-6.ch008(177-196)Online publication date: 4-Oct-2024
https://doi.org/10.4018/979-8-3693-8222-6.ch008
Henry AWiratama VAfilipoaie ARanaivoson HArrivé E(2024)Impacts of AI on Music Consumption and FairnessEmerging Media10.1177/275235432412690472:3(382-396)Online publication date: 17-Sep-2024
https://doi.org/10.1177/27523543241269047
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Park JShin HOh CKim H(2024)“Is Text-Based Music Search Enough to Satisfy Your Needs?” A New Way to Discover Music with ImagesProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642126(1-21)Online publication date: 11-May-2024
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Torras i Segura D(2024)Easiness and amount. Contribution of digitalization to the act of listening and its possibilitiesDigital Creativity10.1080/14626268.2024.233925635:2(143-155)Online publication date: 6-Apr-2024
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Magadum HAzad HPatel HR R(2024)Music recommendation using dynamic feedback and content-based filteringMultimedia Tools and Applications10.1007/s11042-024-18636-883:32(77469-77488)Online publication date: 24-Feb-2024
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