Published on in Vol 11 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/43052, first published .
A Mental Health and Well-Being Chatbot: User Event Log Analysis

A Mental Health and Well-Being Chatbot: User Event Log Analysis

A Mental Health and Well-Being Chatbot: User Event Log Analysis

Journals

  1. Takano E, Maruyama H, Takahashi T, Mori K, Nishiyori K, Morita Y, Fukuda T, Kondo I, Ishibashi Y. User Experience of Older People While Using Digital Health Technologies: A Systematic Review. Applied Sciences 2023;13(23):12815 View
  2. Laymouna M, Ma Y, Lessard D, Schuster T, Engler K, Lebouché B. Roles, Users, Benefits, and Limitations of Chatbots in Health Care: Rapid Review. Journal of Medical Internet Research 2024;26:e56930 View
  3. Kersey E, Li J, Kay J, Adler-Milstein J, Yazdany J, Schmajuk G. Development and application of Breadth-Depth-Context (BDC), a conceptual framework for measuring technology engagement with a qualified clinical data registry. JAMIA Open 2024;7(3) View
  4. Akpan I, Kobara Y, Owolabi J, Akpan A, Offodile O. Conversational and generative artificial intelligence and human–chatbot interaction in education and research. International Transactions in Operational Research 2025;32(3):1251 View
  5. Ding Z, Wei R, Xia J, Mu Y, Wang J, Lin Y. Exploring the potential of large language model–based chatbots in challenges of ribosome profiling data analysis: a review. Briefings in Bioinformatics 2024;26(1) View