User Preferences for Interaction Timing in Smartwatch Sleep Hygiene Games
Zilu Liang, Daeun Hwang, Samantha Chen, Huyen Hoang Nhung, Kingkarn Khotchasing, Edward F. Melcer
Abstract
Good sleep hygiene is essential for quality sleep. This study investigates user preferences for the timing of interactions with features in smartwatch-based sleep hygiene games. Findings reveal that interactions during sleep are generally undesirable, with Sleep Health Points being the only exception. We also identified a misconception that games must involve active play, overlooking the potential of passive and idle game mechanics. Participants preferred engaging with planning and behavior-triggering features before the associated behavior, while reflection and reinforcement features, like reports and rewards, were favored post-behavior. The perceived dual functionality of certain features suggests that preferred interaction timing depends on users’ perceptions of the features’ roles. Users’ schedules and situational context, especially evening availability, also influenced their preferences. This study highlights the importance of aligning feature timing with user routines and perceptions, and advocates for game designs that blend active and passive elements to boost engagement and promote sleep hygiene.
Ask about this paper
Ask your agent about it.
Lune has read the top-tier papers around this one, so every answer names the papers it rests on.
Your agent calls
Lunesearch_papers
Free to start. No credit card required.
Terminal
Install the CLIlune papers get 46b6f1f2-fb84-42f8-8c84-2e5bf249b060Cited by top-tier papers1
Ask how each one uses itRelated papers
- Preferences and Effectiveness of Sleep Data Visualizations for Smartwatches and Fitness BandsAlaul Islam, Ranjini Aravind, Tanja Blascheck, Anastasia Bezerianos et al.CHI 2022 · 14 citations
- Toward Lightweight In-situ Self-reporting: An Exploratory Study of Alternative Smartwatch Interface Designs in ContextXinghui (Erica) Yan, Shriti Raj, Bingjian Huang, Sun Young Park et al.UbiComp 2021 · 20 citations
- Enhancing Response Quality by Children in Voice-based Sleep Diaries via AI-based Continuous FeedbackShanshan Chen, Jun Hu, Gubing Wang, Panos MarkopoulosCHI 2026 · 2 citations
- "It Should Be a Game for Fun, Not Exercise": Tensions in Designing Health-Related Features for Pokémon GOYoojung Kim, Arpita Bhattacharya, Julie A. Kientz, Jin Ha LeeCHI 2020 · 23 citations
- SleepBandits: Guided Flexible Self-Experiments for SleepNediyana Daskalova, Jina Aris Yoon, Yibing Wang, Cintia Araújo et al.CHI 2020 · 35 citations
