Lullaby: a capture & access system for understanding the sleep environment

  • Authors:
  • Matthew Kay;Eun Kyoung Choe;Jesse Shepherd;Benjamin Greenstein;Nathaniel Watson;Sunny Consolvo;Julie A. Kientz

  • Affiliations:
  • University of Washington;University of Washington;University of Washington;University of Washington;University of Washington;University of Washington;University of Washington

  • Venue:
  • Proceedings of the 2012 ACM Conference on Ubiquitous Computing
  • Year:
  • 2012

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Abstract

The bedroom environment can have a significant impact on the quality of a person's sleep. Experts recommend sleeping in a room that is cool, dark, quiet, and free from disruptors to ensure the best quality sleep. However, it is sometimes difficult for a person to assess which factors in the environment may be causing disrupted sleep. In this paper, we present the design, implementation, and initial evaluation of a capture and access system, called Lullaby. Lullaby combines temperature, light, and motion sensors, audio and photos, and an off-the-shelf sleep sensor to provide a comprehensive recording of a person's sleep. Lullaby allows users to review graphs and access recordings of factors relating to their sleep quality and environmental conditions to look for trends and potential causes of sleep disruptions. In this paper, we report results of a feasibility study where participants (N=4) used Lullaby in their homes for two weeks. Based on our experiences, we discuss design insights for sleep technologies, capture and access applications, and personal informatics tools.