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Managing stress, sleep and technologies: an exploratory study of Australian university students

Published: 29 November 2016 Publication History

Abstract

Student life is stressful and many students do not get enough sleep to perform well in class and in assignments. Technology use has been found to contribute to sleep deficits, but it offers a means to investigate sleep patterns and student workload. Hence the aim of this research is to explore how students at Australian universities manage stress, sleep and technologies throughout the semester. We combined rich qualitative insights from contextual interviews and cultural probes with quantitative insights from a student survey. The findings showed that (1) students consciously prioritise academic success over a healthy sleeping pattern; (2) students are sleeping one hour less than they think they should; (3) technologies both add to sleep deficits as well as help to wind down; and (4) students manage sleep and stress through a combination of planning ahead and pushing through stressful times with little sleep. We discuss the implications of these findings and highlight design opportunities for new technologies to support the strategies of planning and pushing through to encourage healthy sleep patterns and foster wellbeing.

References

[1]
Bayon, V., Leger, D., Gomez-Merino, D., Vecchierini, M.-F. and Chennaoui, M. Sleep debt and obesity. Annals of medicine 46, 5 (2014), 264--272.
[2]
Braun, V. and Clarke, V. Using thematic analysis in psychology. Qualitative research in psychology 3, 2 (2006), 77--101.
[3]
Buboltz, W., Jenkins, S.M., Soper, B., Woller, K., Johnson, P. and Faes, T. Sleep Habits and Patterns of College Students: An Expanded Study. Journal of College Counseling 12, 2 (2009), 113--124.
[4]
Choe, E.K., Consolvo, S., Watson, N.F. and Kientz, J.A. Opportunities for computing technologies to support healthy sleep behaviors. In Proc. CHI 2011, ACM (2011), 3053--3062.
[5]
Choe, E.K., Lee, B., Kay, M., Pratt, W. and Kientz, J.A. SleepTight: low-burden, self-monitoring technology for capturing and reflecting on sleep behaviors. In Proc. UbiComp 2015, ACM (2015), 121--132.
[6]
Friedmann, J., Globus, G., Huntley, A., Mullaney, D., Naitoh, P. and Johnson, L. Performance and Mood During and After Gradual Sleep Reduction. Psychophysiology 14, 3 (1977), 245--250.
[7]
Gaver, W., Dunne, A. and Pacenti, E. Cultural probes. Interactions 6, 1 (1999), 21--29.
[8]
Howell, N., Devendorf, L., Tian, R., Galvez, T.V., Gong, N.-W., Poupyrev, I., Paulos, E. and Ryokai, K. Biosignals as Social Cues: Ambiguity and Emotional Interpretation in Social Displays of Skin Conductance. In Proc. DIS 2016, ACM (2016), 865--870.
[9]
Lawson, S., Jamison-Powell, S., Garbett, A., Linehan, C., Kucharczyk, E., Verbaan, S., Rowland, D.A. and Morgan, K. Validating a mobile phone application for the everyday, unobtrusive, objective measurement of sleep. In Proc. CHI 2013, ACM (2013), 2497--2506.
[10]
Levenson, J.C., Shensa, A., Sidani, J.E., Colditz, J.B. and Primack, B.A. The association between social media use and sleep disturbance among young adults. Preventive Medicine 85(2016), 36--41.
[11]
Lillard, D. and Gerner, J. Getting to the Ivy League: How family composition affects college choice. Journal of Higher Education(1999), 706--730.
[12]
Liu, W., Ploderer, B. and Hoang, T. In bed with technology: challenges and opportunities for sleep tracking. In Proc. OzCHI 2015, ACM (2015), 142--151.
[13]
MacLean, D., Roseway, A. and Czerwinski, M. MoodWings: a wearable biofeedback device for real-time stress intervention. In Proc. PETRA 2013, ACM (2013), Article 66.
[14]
Mark, G., Wang, Y., Niiya, M. and Reich, S. Sleep Debt in Student Life: Online Attention Focus, Facebook, and Mood. In Proc. CHI 2016, ACM (2016), 5517--5528.
[15]
Min, J.-K., Doryab, A., Wiese, J., Amini, S., Zimmerman, J. and Hong, J.I. Toss 'n' turn: smartphone as sleep and sleep quality detector. In Proc. CHI 2014, ACM (2014), 477--486.
[16]
Orzech, K.M., Grandner, M.A., Roane, B.M. and Carskadon, M.A. Digital media use in the 2 h before bedtime is associated with sleep variables in university students. Computers in Human Behavior 55(2016), 43--50.
[17]
Robotham, D. and Julian, C. Stress and the higher education student: a critical review of the literature. Journal of Further and Higher Education 30, 2 (2006), 107--117.
[18]
Shirazi, A.S., Clawson, J., Hassanpour, Y., Tourian, M.J., Schmidt, A., Chi, E.H., Borazio, M. and Laerhoven, K. V. Already up? using mobile phones to track & share sleep behavior. Internation Journal Human-Computer Studies 71, 9 (2013), 878--888.
[19]
Wang, R., Chen, F., Chen, Z., Li, T., Harari, G., Tignor, S., Zhou, X., Ben-Zeev, D. and Campbell, A.T. StudentLife: assessing mental health, academic performance and behavioral trends of college students using smartphones

Cited By

View all
  • (2023)“We are Researchers, but we are also Humans”: Creating a Design Space for Managing Graduate Student StressACM Transactions on Computer-Human Interaction10.1145/358995630:5(1-33)Online publication date: 23-Sep-2023
  • (2022)SleepyCloud: Examining the Effect of Odor Cue on Reducing Bedtime ProcrastinationHuman-Computer Interaction. User Experience and Behavior10.1007/978-3-031-05412-9_26(374-388)Online publication date: 16-Jun-2022
  • (2021)Influence of Digital Competence on Perceived Stress, Burnout and Well-Being Among Students Studying Online During the COVID-19 Lockdown: A 4-Country PerspectivePsychology Research and Behavior Management10.2147/PRBM.S325092Volume 14(1483-1498)Online publication date: Sep-2021
  • Show More Cited By

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    OzCHI '16: Proceedings of the 28th Australian Conference on Computer-Human Interaction
    November 2016
    706 pages
    ISBN:9781450346184
    DOI:10.1145/3010915
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

    Sponsors

    • IEEE-SMCS: Systems, Man & Cybernetics Society
    • Australian Comp Soc: Australian Computer Society
    • Data61: Data61, CSIRO
    • ICACHI: International Chinese Association of Computer Human Interaction
    • Infoxchange: Infoxchange
    • HITLab AU: Human Interface Technology Laboratory Australia
    • James Boag: James Boag
    • Tourism Tasmania: Tourism Tasmania
    • HFESA: Human Factors and Ergonomics Society of Australia Inc.
    • IEEEVIC: IEEE Victorian Section
    • UTAS: University of Tasmania, Australia

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 29 November 2016

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    Author Tags

    1. sleep
    2. stress
    3. university students
    4. wellbeing

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    • Short-paper

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    OzCHI '16
    Sponsor:
    • IEEE-SMCS
    • Australian Comp Soc
    • Data61
    • ICACHI
    • Infoxchange
    • HITLab AU
    • James Boag
    • Tourism Tasmania
    • HFESA
    • IEEEVIC
    • UTAS
    OzCHI '16: The 28th Australian Conference on Human-Computer Interaction
    November 29 - December 2, 2016
    Tasmania, Launceston, Australia

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    Overall Acceptance Rate 362 of 729 submissions, 50%

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    Cited By

    View all
    • (2023)“We are Researchers, but we are also Humans”: Creating a Design Space for Managing Graduate Student StressACM Transactions on Computer-Human Interaction10.1145/358995630:5(1-33)Online publication date: 23-Sep-2023
    • (2022)SleepyCloud: Examining the Effect of Odor Cue on Reducing Bedtime ProcrastinationHuman-Computer Interaction. User Experience and Behavior10.1007/978-3-031-05412-9_26(374-388)Online publication date: 16-Jun-2022
    • (2021)Influence of Digital Competence on Perceived Stress, Burnout and Well-Being Among Students Studying Online During the COVID-19 Lockdown: A 4-Country PerspectivePsychology Research and Behavior Management10.2147/PRBM.S325092Volume 14(1483-1498)Online publication date: Sep-2021
    • (2021)“Welcome to your Daily Wellness Check”: The Proposed Evaluation of a SMS-based Conversational Agent for Managing Health and WellbeingProceedings of the Human Factors and Ergonomics Society Annual Meeting10.1177/107118132165129765:1(791-795)Online publication date: 12-Nov-2021
    • (2021)Brain Exercises Anywhere AnytimeMobile Information Systems10.1155/2021/36179412021Online publication date: 1-Jan-2021
    • (2021)“It’s About Missing Much More Than the People”: How Students use Digital Technologies to Alleviate HomesicknessProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445362(1-17)Online publication date: 6-May-2021
    • (2021)Reopening after lockdown: the influence of working-from-home and digital device use on sleep, physical activity, and wellbeing following COVID-19 lockdown and reopeningSleep10.1093/sleep/zsab250Online publication date: 12-Oct-2021
    • (2021)A one-class-classification approach to create a stresslevel curve plotter through wearable measurements and behavioral patternsInternational Journal on Interactive Design and Manufacturing (IJIDeM)10.1007/s12008-021-00765-115:2-3(159-171)Online publication date: 18-Aug-2021
    • (2021)Towards a Computerized Approach to Identify Attentional States of Online LearnersHCI International 2021 - Late Breaking Papers: Cognition, Inclusion, Learning, and Culture10.1007/978-3-030-90328-2_28(426-438)Online publication date: 13-Nov-2021
    • (2020)Sleep EcologiesProceedings of the 2020 ACM Designing Interactive Systems Conference10.1145/3357236.3395482(1579-1591)Online publication date: 3-Jul-2020
    • Show More Cited By

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