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Published on in Vol 11 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/49144, first published .
Exploring Variations in Sleep Perception: Comparative Study of Chatbot Sleep Logs and Fitbit Sleep Data

Exploring Variations in Sleep Perception: Comparative Study of Chatbot Sleep Logs and Fitbit Sleep Data

Exploring Variations in Sleep Perception: Comparative Study of Chatbot Sleep Logs and Fitbit Sleep Data

Journals

  1. Tessler I, Yamin T, Peeri H, Alon E, Zimlichman E, Glicksberg B, Klang E. Unlocking the potential of large language models in healthcare: navigating the opportunities and challenges. Future Medicine AI 2024;2(1) View
  2. Hassinger A, Kwon M, Wang J, Mishra A, Wilding G, Sadek I. Pilot study comparing sleep logs to a commercial wearable device in describing the sleep patterns of physicians-in-training. PLOS ONE 2024;19(7):e0305881 View
  3. Kim G, Chin M, Hahn S, Kim Y, Kwon Y, Park Y. Sleep misperception and associated factors among middle-aged women in Korea: a cross-sectional study. Journal of Korean Biological Nursing Science 2025;27(3):454 View
  4. Srivali N, Cheungpasitporn W. Concordance of Wearable Device Sleep Metrics with Patient-Reported Sleep Quality: A Systematic Review. Sleep Medicine 2026:108941 View

Conference Proceedings

  1. Roomkham S. Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems. 'If It Doesn't Work for Me as a Researcher, Let Alone Others' : Understanding Wellbeing Through an Autoethnography of Wearable and Non-Wearable Technologies View