The aim of the SleepBeta project is collaborate with young adults to promote healthy sleep. Sleep, together with healthy diet and exercise, is a key pillar for a healthy lifestyle. It is important to feeling well and to performing well at school and in university. However, young adults often have unhealthy sleep habits due to stress caused by exams, leisure activities and work commitments, and digital technologies used at night-time.
Over the last few years, we explored different sleep and lifestyle tracking technologies with young adults. In a recent study (see https://eprints.qut.edu.au/227707/) we found that young adults were interested in learning if they got enough sleep and what they can do to improve their sleep. However, we also found that self-tracking technologies were not well suited, because they were designed for a different age group and did not reflect the priorities and questions of young adults. Instead, young adults learnt more from a set of cards that described the relationship between sleep and different lifestyle factors (e.g., drinking caffeine, social media use at night.) Finally, the personal focus of sleep-tracking technologies did not allow for young adults to engage with peers and family members to reflect on wellbeing issues.
Hence, the aim of this research project is to engage with young adults through a co-design approach to (1) understand their sleep and digital technology practices at night-time, and (2) to collaboratively design and trial technologies that promotes healthy sleep.
Chief Investigators
Publications
- Ploderer, Bernd, Rodgers, Shannon, Liang, Zilu (2023) What's keeping teens up at night? Reflecting on sleep and technology habits with teens. Personal and Ubiquitous Computing, 27 (2), pp.249-270.
- Roomkham, Sirinthip, Ploderer, Bernd, Smith, Simon, Perrin, Dimitri (2022) Technologies for Quantifying Sleep: Improved Quality of Life or Overwhelming Gadgets?. In Wac, Katarzyna, Wulfovich, Sharon (Eds.), Quantifying Quality of Life: Incorporating Daily Life into Medicine, Health Informatics, pp.151-164.
- Liang, Zilu, Ploderer, Bernd (2020) How does Fitbit measure brainwaves: A qualitative study into the credibility of sleep-tracking technologies. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 4 (1), pp.Article number: 17.
- Liang, Zilu, Chapa Martell, Mario Alberto, Ploderer, Bernd (2017) Inter-individual differences in sleep quality: Insights from mining wearable sleep-tracking data
- Liang, Zilu, Liu, Wanyu, Ploderer, Bernd, Bailey, James, Kulik, Lars, Li, Yuxuan (2017) Designing intelligent sleep analysis systems for automated contextual exploration on personal sleep-tracking data. In Ota, Y, Otake, M, Satoh, K, Bekki, D, Kurahashi, S (Eds.), New Frontiers in Artificial Intelligence: JSAI-isAI 2015 Workshops, LENLS, JURISIN, AAA, HAT-MASH, TSDAA, ASD-HR, and SKL, Revised Selected Papers (Lecture Notes in Computer Science, Volume 10091), pp.367-379.
- Liang, Zilu, Ploderer, Bernd, Chapa Martell, Mario Alberto, Nishimura, Takuichi (2016) A cloud-based intelligent computing system for contextual exploration on personal sleep-tracking data using association rule mining. In Uc-Cetina, V, Martin-Gonzalez, A (Eds.), Intelligent Computing Systems: First International Symposium, ISICS 2016, First International Symposium, ISICS 2016 [Communications in Computer and Information Science, Volume 597], pp.83-96.
- Hoang, Thuong, Ploderer, Bernd (2016) What the nap apps can really tell you about your sleep. The Conversation.
- Liang, Zilu, Ploderer, Bernd, Liu, Wanyu, Nagata, Yukiko, Bailey, James, Kulik, Lars, Li, Yuxuan (2016) SleepExplorer: a visualization tool to make sense of correlations between personal sleep data and contextual factors. Personal and Ubiquitous Computing, 20 (6), pp.985-1000.
- Liang, Zilu, Ploderer, Bernd (2016) Sleep tracking in the real world: a qualitative study into barriers for improving sleep. In Parker, C (Ed.), Proceedings of the 28th Australian Computer-Human Interaction Conference (OzCHI 2016), pp.537-541.
- Rodgers, Shannon, Maloney, Brittany, Ploderer, Bernd, Brereton, Margot (2016) Managing stress, sleep and technologies: an exploratory study of Australian university students. In Parker, C (Ed.), Proceedings of the 28th Australian Computer-Human Interaction Conference (OzCHI 2016), pp.526-530.
- Liu, Wanyu, Ploderer, Bernd, Hoang, Thuong (2015) In bed with technology: Challenges and opportunities for sleep tracking. In Gibbs, M, Smith, W, Carter, M, Vetere, F, Ploderer, B (Eds.), Proceedings of the 27th Australian Computer-Human Interaction Conference (OzCHI 2015), pp.142-151.
