Exploring profiling and personalisation in sleep music design: Towards conceptualising musical sleep aids for hospital use

Stefano Delle Monache, Doudou Jia, Daan Kamphuis, Elif Özcan

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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Abstract

Music as a low-cost sleep aid is a promising way to improve the sleep quality of people. However, most available sleep music playlists are limited to generic, soothing songs, which do not take in account personalisation. In collaboration with the Neurology Department of the Reinier de Graaf hospital (Delft, The Netherlands), we explored a profile-based personalisation approach to deliver music that fits with people' sleep and music preferences. Through generative research, we collected people's preference data and proposed four, evocative sleep music profiles: The Explorer, the Diver, the Hunter, and the Observer. The results of the profiling evaluation suggest that the profile experience is credible, intuitive, and easy to use. Four profiles can reflect people's preferences, but may not be stable.

Original languageEnglish
Title of host publicationProceedings of the 17th International Audio Mostly Conference
Subtitle of host publicationWhat You Hear is What You See? Perspectives on Modalities in Sound and Music Interaction, AM 2022
PublisherAssociation for Computing Machinery (ACM)
Pages129-136
Number of pages8
ISBN (Electronic)978-1-4503-9701-8
DOIs
Publication statusPublished - 2022
Event17th International Audio Mostly Conference: What You Hear is What You See? Perspectives on Modalities in Sound and Music Interaction, AM 2022 - St. Polten, Austria
Duration: 6 Sept 20229 Sept 2022

Publication series

NameACM International Conference Proceeding Series

Conference

Conference17th International Audio Mostly Conference: What You Hear is What You See? Perspectives on Modalities in Sound and Music Interaction, AM 2022
Country/TerritoryAustria
CitySt. Polten
Period6/09/229/09/22

Keywords

  • personalisation
  • Profiling
  • sleep music
  • sound-driven design

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