Exploring profiling and personalisation in sleep music design

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

Delle Monache, S. (TU Delft Design Aesthetics)
Jia, Doudou (Student TU Delft)
Kamphuis, Daan (Reinier de Graaf Gasthuis)
Ozcan Vieira, E. (TU Delft Design Aesthetics)

2022

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.

personalisation
Profiling
sleep music
sound-driven design

http://resolver.tudelft.nl/uuid:f53bc4af-6083-4005-988b-3372e352f8d1

https://doi.org/10.1145/3561212.3561245

Association for Computing Machinery (ACM)

978-1-4503-9701-8

Proceedings of the 17th International Audio Mostly Conference: What You Hear is What You See? Perspectives on Modalities in Sound and Music Interaction, AM 2022

17th International Audio Mostly Conference: What You Hear is What You See? Perspectives on Modalities in Sound and Music Interaction, AM 2022, 2022-09-06 → 2022-09-09, St. Polten, Austria

ACM International Conference Proceeding Series

Institutional Repository

conference paper

© 2022 S. Delle Monache, Doudou Jia, Daan Kamphuis, E. Ozcan Vieira