Published on in Vol 5, No 9 (2021): September
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/25294, first published
.
![A Suite of Mobile Conversational Agents for Daily Stress Management (Popbots): Mixed Methods Exploratory Study A Suite of Mobile Conversational Agents for Daily Stress Management (Popbots): Mixed Methods Exploratory Study](https://asset.jmir.pub/assets/781fd6d505f392898aacaaa20d3bb372.png 480w,https://asset.jmir.pub/assets/781fd6d505f392898aacaaa20d3bb372.png 960w,https://asset.jmir.pub/assets/781fd6d505f392898aacaaa20d3bb372.png 1920w,https://asset.jmir.pub/assets/781fd6d505f392898aacaaa20d3bb372.png 2500w)
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- Wutz M, Hermes M, Winter V, Köberlein-Neu J. Factors Influencing the Acceptability, Acceptance, and Adoption of Conversational Agents in Health Care: Integrative Review. Journal of Medical Internet Research 2023;25:e46548 View
- Lee M, Contreras Alejandro J, IJsselsteijn W. Cultivating Gratitude with a Chatbot. International Journal of Human–Computer Interaction 2023:1 View
- Allan D. A mobile messaging-based conversational agent-led stress mindset intervention for New Zealand small-to-medium-sized enterprise owner-managers: effectiveness and acceptability study. Behaviour & Information Technology 2023:1 View
- Yorita A, Egerton S, Chan C, Kubota N. Chatbots and robots: a framework for the self-management of occupational stress. ROBOMECH Journal 2023;10(1) View
- Ding H, Simmich J, Vaezipour A, Andrews N, Russell T. Evaluation framework for conversational agents with artificial intelligence in health interventions: a systematic scoping review. Journal of the American Medical Informatics Association 2023 View