This paper is in the following e-collection/theme issue:

mHealth for Wellness, Behavior Change and Prevention (2872) Peer-to-Peer Support and Online Communities (636) Chatbots and Conversational Agents (531) Methods and New Tools in Mental Health Research (454)

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

Authors of this article:

Frederick Booth1 Author Orcid Image ;   Courtney Potts2 Author Orcid Image ;   Raymond Bond3 Author Orcid Image ;   Maurice Mulvenna3 Author Orcid Image ;   Catrine Kostenius4 Author Orcid Image ;   Indika Dhanapala5 Author Orcid Image ;   Alex Vakaloudis5 Author Orcid Image ;   Brian Cahill5 Author Orcid Image ;   Lauri Kuosmanen6 Author Orcid Image ;   Edel Ennis2 Author Orcid Image
Article Authors Cited by (6) Tweetations (11) Metrics

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 2024 View