Two sides of the same pillow: unfolding the relationship between objective and subjective sleep quality with unsupervised learning

Biedebach, Luka, Óskarsdóttir, María, Arnardóttir, Erna Sif and Islind, Anna Sigridur (2023) Two sides of the same pillow: unfolding the relationship between objective and subjective sleep quality with unsupervised learning. In International Conference on Information Systems, ICIS 2023: "Rising like a Phoenix: Emerging from the Pandemic and Reshaping Human Endeavors with Digital Technologies". Association for Information Systems..

Abstract

Advances in digital health allow us to take an active part in monitoring and improving our sleep quality. Both, objectively recorded and subjectively perceived sleep quality impacts our general health and well-being. This research shows how these two dimensions of sleep quality can be captured with smartwatches and digital symptom trackers. We contribute to the gap in the literature on how recorded values from wearables and user-generated content from mobile applications can elevate each other. Analysing the recorded and reported sleep quality in a longitudinal sleep study (n=45) shows differences in how participants perceive their sleep. We address this need for personalization, by creating clusters of participants with a similar perception of sleep using unsupervised machine learning. Analysing these clusters provides us with a more wholesome understanding of their sleep quality and raises awareness for the uniqueness of individuals in digital health.

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Contributors

Author: María Óskarsdóttir

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