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

Wearables and MHealth Reviews (320) mHealth for Wellness, Behavior Change and Prevention (3391) Chatbots and Conversational Agents (767)

Published on in Vol 11 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/39649, first published .
Conversational Agents and Avatars for Cardiometabolic Risk Factors and Lifestyle-Related Behaviors: Scoping Review

Conversational Agents and Avatars for Cardiometabolic Risk Factors and Lifestyle-Related Behaviors: Scoping Review

Conversational Agents and Avatars for Cardiometabolic Risk Factors and Lifestyle-Related Behaviors: Scoping Review

Authors of this article:

Lynnette Nathalie Lyzwinski1, 2 Author Orcid Image ;   Mohamed Elgendi3 Author Orcid Image ;   Carlo Menon1, 3 Author Orcid Image
Article Authors Cited by (18) Tweetations (2) Metrics

Journals

  1. Kiuchi K, Otsu K, Hayashi Y. Psychological insights into the research and practice of embodied conversational agents, chatbots and social assistive robots: a systematic meta-review. Behaviour & Information Technology 2024;43(15):3696 View
  2. Anisha S, Sen A, Bain C. Evaluating the Potential and Pitfalls of AI-Powered Conversational Agents as Humanlike Virtual Health Carers in the Remote Management of Noncommunicable Diseases: Scoping Review. Journal of Medical Internet Research 2024;26:e56114 View
  3. Ramírez Gallegos I, Marina Arroyo M, López-González Á, Vicente-Herrero M, Vallejos D, Sastre-Alzamora T, Ramírez-Manent J. The Effect of a Program to Improve Adherence to the Mediterranean Diet on Cardiometabolic Parameters in 7034 Spanish Workers. Nutrients 2024;16(7):1082 View
  4. Schlieter H, Gand K, Weimann T, Sandner E, Kreiner K, Thoma S, Liu J, Caprino M, Corbo M, Seregni A, Tropea P, Del Pino R, Gómez Esteban J, Gabilondo I, Lacraru A, Busnatu S. Designing Virtual Coaching Solutions. Business & Information Systems Engineering 2024;66(3):377 View
  5. Vandelanotte C, Hodgetts D, Peris D, Karki A, Maher C, Imam T, Rashid M, To Q, Trost S. Perceptions and expectations of an artificially intelligent physical activity digital assistant — A focus group study. Applied Psychology: Health and Well-Being 2024;16(4):2362 View
  6. Taylor M, Ng D, Pfisterer K, Cafazzo J, Sherifali D, Ayatollahi H. The value of diabetes technology enabled coaching (DTEC) to support remission evaluation of medical interventions in T2D: Patient and health coach perspectives. PLOS Digital Health 2025;4(1):e0000701 View
  7. Wang Q, Yang W, Xu K, Lam L. The effect of chatbot-based exercise interventions on physical activity, exercise habits, and sedentary behavior: A systematic review and meta-analysis of randomized controlled trials. DIGITAL HEALTH 2025;11 View
  8. Fukuoka Y, Kim D, Zhang J, Hoffmann T, DeVon H, Sagae K. AI HeartBot to Increase Women’s Awareness and Knowledge of Heart Attacks: Nonrandomized, Quasi-Experimental Study. JMIR Cardio 2025;9:e80407 View
  9. Martinengo L, Ha N, Tay E, Tong S, Sevdalis N. Implementation of a Digital Health Intervention (CHAMP) for Self-Monitoring of Hypertension: Protocol for 3 Interlinked Implementation Studies. JMIR Research Protocols 2025;14:e72942 View
  10. Amil S, Gagnon M, Bédard A, Da S, Zavala Mora D, Drapeau V, Desroches S. Interactive Conversational Agents to Improve Dietary Behaviors for Health Promotion: Mixed Systematic Review. Journal of Medical Internet Research 2025;27:e78220 View
  11. Kim D, Zhang J, Sagae K, Devon H, Hoffmann T, Rountree L, Fukuoka Y. Human-Delivered Conversation Versus AI Chatbot Conversation in Increasing Heart Attack Knowledge in Women in the United States: Quasi-Experimental Studies. Journal of Medical Internet Research 2025;27:e73184 View
  12. Lim S, Yang Q, Meng J, Rains S. The role of communication in health-focused conversational AI: a review of systematic reviews examining conversational features, design characteristics, and interaction functions. Behaviour & Information Technology 2025:1 View
  13. Suzuki H, Zhang J, Kim D, Sagae K, DeVon H, Fukuoka Y. Message Humanness as a Predictor of AI’s Perception as Human: Secondary Data Analysis of the HeartBot Study. JMIR AI 2026;5:e67717 View
  14. Johnson A, Nair P, Behara D, Aranda-Hernadez A, Bey J, Harrington C, Miller E, Peek M, Kitsiou S, Magnani J. Involving End Users in Co-Designing Mobile Health Interventions for Hypertension Self-Management: Formative Study. JMIR Formative Research 2026;10:e77631 View
  15. Silacci A, Giachetti B, Angelini L, Lopomo N, Andreoni G, Mugellini E, Cherubini M, Caon M. Large Language Model-Based Agents for Physical Activity and Cognitive Training: A Scoping Review (Preprint). JMIR AI 2025 View

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Conference Proceedings

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