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

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.

[1]  Ivan Poupyrev,et al.  Biosignals as Social Cues: Ambiguity and Emotional Interpretation in Social Displays of Skin Conductance , 2016, Conference on Designing Interactive Systems.

[2]  Jason B. Colditz,et al.  The association between social media use and sleep disturbance among young adults. , 2016, Preventive medicine.

[3]  Fanglin Chen,et al.  StudentLife: assessing mental health, academic performance and behavioral trends of college students using smartphones , 2014, UbiComp.

[4]  Mounir Chennaoui,et al.  Sleep debt and obesity , 2014, Annals of medicine.

[5]  Alireza Sahami Shirazi,et al.  Already up? using mobile phones to track & share sleep behavior , 2013, Int. J. Hum. Comput. Stud..

[6]  John Zimmerman,et al.  Toss 'n' turn: smartphone as sleep and sleep quality detector , 2014, CHI.

[7]  Walter C. Buboltz,et al.  Sleep Habits and Patterns of College Students: An Expanded Study. , 2009 .

[8]  Sunny Consolvo,et al.  Opportunities for computing technologies to support healthy sleep behaviors , 2011, CHI.

[9]  David Robotham,et al.  Stress and the higher education student: a critical review of the literature , 2006 .

[10]  D. J. Mullaney,et al.  Performance and mood during and after gradual sleep reduction. , 1977, Psychophysiology.

[11]  William W. Gaver,et al.  Design: Cultural probes , 1999, INTR.

[12]  V. Braun,et al.  Using thematic analysis in psychology , 2006 .

[13]  Wanda Pratt,et al.  SleepTight: low-burden, self-monitoring technology for capturing and reflecting on sleep behaviors , 2015, UbiComp.

[14]  Dean R. Lillard,et al.  Getting to the Ivy League: How Family Composition Affects College Choice , 1999 .

[15]  Gloria Mark,et al.  Sleep Debt in Student Life: Online Attention Focus, Facebook, and Mood , 2016, CHI.

[16]  Mary Czerwinski,et al.  MoodWings: a wearable biofeedback device for real-time stress intervention , 2013, PETRA '13.

[17]  Duncan Rowland,et al.  Validating a mobile phone application for the everyday, unobtrusive, objective measurement of sleep , 2013, CHI.

[18]  Thuong N. Hoang,et al.  In Bed with Technology: Challenges and Opportunities for Sleep Tracking , 2015, OZCHI.

[19]  Mary A. Carskadon,et al.  Digital media use in the 2 h before bedtime is associated with sleep variables in university students , 2016, Comput. Hum. Behav..