Improving Sleep-Wake Schedule Using Sleep Behavior Visualization and a Bedtime Alarm
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eai.14-10-2015.2261715.pdf
Description
Published version
Size
1.63 MB
Format
Adobe PDF
Checksum (MD5)
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Author(s) • •
Chen, Weixuan
Sra, Misha
Picard, Rosalind W.
Date Issued
December 2015
Journal
EAI Endorsed Transactions on Future Intelligent Educational Environments
Publisher
ICST
Citation
Chen, Weixuan et al. "Improving Sleep-Wake Schedule Using Sleep Behavior Visualization and a Bedtime Alarm."EAI Endorsed Transactions on Future Intelligent Educational Environments 16, 8 (December 2015): e2 © 2015 ICST
Version
Final published version
Abstract
Humans need sleep, along with food, water and oxygen, to survive. With about one-Third of our lives spent sleeping, there has been increased attention and interest in under-standing sleep and the overall state of our"sleep health."The rapid adoption of smartphones along with a growing num-ber of sleep tracking applications for these devices presents an opportunity to use this device to encourage better sleep hygiene. Procrastinating going to bed and being unable to stick to a consistent bedtime can lead to inadequate amount of sleep time which in turn affects quality of life and over-all wellbeing. To help address this problem, we developed two applications, Lights Out and Sleep Wallpaper, which provide a sensor-based bedtime alarm and a connected pe-ripheral display on the wallpaper of the user's mobile phone to promote awareness with sleep data visualization. In this paper, we describe Lights Out and Sleep Wallpaper and re-sults from a two-week field study with 19 participants who have a variety of sleep contexts. Results indicate that a sim-ple bedtime alarm and a peripheral display with sleep data visualization can be an effective method for improving sleep consistency. Keywords: sleep consistency; bedtime; alarm; wall paper
MIT Department
Massachusetts Institute of Technology. Media Laboratory
Program in Media Arts and Sciences (Massachusetts Institute of Technology)
Terms of Use
Creative Commons Attribution 3.0 unported license
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DOI of Published Version
https://doi.org/10.4108/eai.14-10-2015.2261715