Perceptions of and Experiences with Consumer Sleep Technologies That Use Artificial Intelligence
Esther Oh1, William Kearns1, Megan Laine1
1Biobehavioral Nursing and Health Informatics, School of Nursing, University of Washington, Seattle, WA 98195-7266, USA.
Sensors (Basel, Switzerland)
|May 28, 2022
Summary
Consumer sleep technologies (CSTs) using artificial intelligence (AI) offer valuable insights into sleep patterns. Users desire comfort, ease of use, and integrated features for improved sleep technology design.
Area of Science:
- Human-Computer Interaction
- Sleep Science
- Artificial Intelligence Applications
Background:
- Growing interest in consumer sleep technologies (CSTs) for personal health monitoring.
- Increasing integration of artificial intelligence (AI) into consumer health devices.
- Limited understanding of user perspectives and usability of AI-powered CSTs.
Purpose of the Study:
- To assess user perceptions and ideations of AI-powered CSTs.
- To evaluate users' actual experiences with AI-powered CSTs.
- To gather design recommendations for improving AI-powered CSTs.
Main Methods:
- A two-phase qualitative study.
- Phase 1: Focus groups to explore user perceptions and desires.
- Phase 2: Usability testing to evaluate real-world experiences with AI-powered CSTs.
Main Results:
- Users prioritize comfort, actionable feedback, and ease of use in CSTs.
- Participants desire personalized environmental suggestions and integration with existing tools.
- Usability testing confirmed perceived accuracy of sleep quantity/quality but highlighted areas for design improvement.
Conclusions:
- AI-powered CSTs are valuable, affordable, and convenient tools for sleep monitoring.
- Objective data from CSTs can supplement clinical discussions about sleep concerns.
- User-centered design focusing on comfort, usability, and integration is crucial for CST advancement.
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