Jared S. Bauer
Julie Kientz
ABSTRACT
Sleep is a basic physiological process essential for good health. However, 40 million people in the U.S. are diagnosed with sleep disorders, with many more undiagnosed. To help address this problem, we developed an application, ShutEye, which provides a peripheral display on the wall-paper of the user's mobile phone to promote awareness about recommended activities that promote good sleep quality. Based on preferences about the user's desired bed-time and activities' for example - consuming caffeine or performing vigorous exercise - ShutEye displays guidance about when engaging in those activities is likely to affect sleep without requiring any explicit interaction from the user. In this paper, we describe ShutEye and results from a four-week field study with 12 participants. Results indicate that a simple, recommendation-based peripheral display can be a very low-effort but still effective method for improving awareness of healthy sleep habits. We also provide recommendations about designing peripheral displays and extend insights for designing health-based mobile applications.
- Addy, M. & Moran, J. M. 2000. Evaluation of oral hygiene products: science is true; don't be misled by the facts. Periodontology 15, 1 (1997), 40--51.Google Scholar
Cross Ref
- Anderson, I., et al. 2007. Shakra: tracking and sharing daily activity levels with unaugmented mobile phones. Mob. Netw. Appl. 12, 2-3, 185--199. Google ScholarDigital Library
- Ayas, N. T., et al. 2003. A Prospective Study of Sleep Duration and Coronary Heart Disease in Women. Arch. Intern. Med. 163, 2, 205--209.Google ScholarCross Ref
- Choe, et al. 2011. Opportunities for Computing Technologies to Support Healthy Sleep Behaviors. CHI '11, 3053--3062. Google ScholarDigital Library
- Cohen, S., et al. 2009. Sleep Habits and Susceptibility to the Common Cold. Arch. Intern. Med. 169, 1, 62--67.Google ScholarCross Ref
- Consolvo, S., et al. 2006. Design requirements for technologies that encourage physical activity. CHI '06, 457--466. Google ScholarDigital Library
- Consolvo, S., et al. 2009. Theory-driven design strategies for technologies that support behavior change in everyday life. CHI '09. 405--414. Google ScholarDigital Library
- Dement, W. C. & Vaughan, C. 2000. The Promise of Sleep: A Pioneer in Sleep Medicine Explores the Vital Connection Between Health, Happiness, and a Good Night's Sleep. Dell Publishing.Google Scholar
- Edinger, J. D., et al. 2001. Cognitive Behavioral Therapy for Treatment of Chronic Primary Insomnia: A Randomized Controlled Trial. JAMA 285, 14, 1856--1864.Google Scholar
- Froehlich, J., et al. 2009. UbiGreen: investigating a mobile tool for tracking and supporting green transportation habits. CHI '09, 1043--1052. Google ScholarDigital Library
- Gangwisch, J. E., et al. 2006. Short Sleep Duration as a Risk Factor for Hypertension. Hypertension 47, 5, 833--839.Google ScholarCross Ref
- Grimes, A., et al. 2008. EatWell: sharing nutrition-related memories in a low-income community. CSCW '08. 87--96. Google ScholarDigital Library
- Jancke, G., et al. Sideshow: Providing peripheral awareness of important information. Microsoft Research, 2001.Google Scholar
- Johns, M. W. 1991. A new method for measuring daytime sleepiness: the Epworth sleepiness scale. Sleep 14, 6, 540--5.Google ScholarCross Ref
- Johnson, J. V. & J. Lipscomb. 2006. Long working hours, occupational health and the changing nature of work organization. Am. Journal of Industrial Medicine 49, 11, 921--929.Google ScholarCross Ref
- Kim, S., et al. 2008. Are you sleeping?: sharing portrayed sleeping status within a social network. CSCW '08. 619--628. Google ScholarDigital Library
- Klasnja, P., et al. 2011. How to evaluate technologies for health behavior change in HCI research. CHI '11. 3063--3072. Google ScholarDigital Library
- Kleitman, N. 1963. Sleep and wakefulness. University of Chicago Press, Chicago.Google Scholar
- Lacks, P. & Rotert, M. 1986. Knowledge and practice of sleep hygiene techniques in insomniacs and good sleepers. Behaviour Research & Therapy 24, 3, 365--368.Google ScholarCross Ref
- Lin, J., et al. 2006. Fish'n'Steps: Encouraging Physical Activity with an Interactive Computer Game. UbiComp'06, 261--278. Google ScholarDigital Library
- Maitland, J., et al. 2006. Increasing the Awareness of Daily Activity Levels with Pervasive Computing. Pervasive Health '06, 1--9.Google Scholar
- Matthews, T. 2006. Designing and evaluating glanceable peripheral displays. DIS '06, 343--345. Google ScholarDigital Library
- Matthews, T., et al. 2007. Defining, designing, and evaluating peripheral displays: An analysis using Activity Theory. HumanComputer Interaction, 22(1), 221--261. Google ScholarDigital Library
- Mattila, E., et al. 2008. Mobile diary for wellness management - results on usage and usability in two user studies. IEEE TITB, 12(4), 501--512. Google ScholarDigital Library
- Miller, T. & Stasko, J. 2002. Artistically conveying peripheral information with the InfoCanvas. AVI '02, 43--50. Google ScholarDigital Library
- Monk, T. H. 2010. Enhancing circadian zeitgebers. Sleep. Apr 1;33(4):421--2.Google Scholar
- Oliveira, R. D. & Oliver, N. 2008. TripleBeat: enhancing exercise performance with persuasion. Mobile HCI, 255--264. Google ScholarDigital Library
- Stepanski, E. J. & Wyatt, J. K. 2003. Use of sleep hygiene in the treatment of insomnia. Sleep medicine reviews 7, 3, 215--225.Google Scholar
- Yaggi, H. K., et al. 2006. Sleep Duration as a Risk Factor for the Development of Type 2 Diabetes. Diabetes Care 29, 3, 657--661.Google ScholarCross Ref
- Zacone, V. 2003. Sleep Hygiene. In Principles and Practice of Sleep Medicine. W. B. Saunders Company, 657--661.Google Scholar
Index Terms
- ShutEye: encouraging awareness of healthy sleep recommendations with a mobile, peripheral display
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