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

mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1571) Chatbots and Conversational Agents (630) Diabetes Self-Management (531)

Published on in Vol 8, No 7 (2020): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17038, first published .
Acceptability of an Embodied Conversational Agent for Type 2 Diabetes Self-Management Education and Support via a Smartphone App: Mixed Methods Study

Acceptability of an Embodied Conversational Agent for Type 2 Diabetes Self-Management Education and Support via a Smartphone App: Mixed Methods Study

Acceptability of an Embodied Conversational Agent for Type 2 Diabetes Self-Management Education and Support via a Smartphone App: Mixed Methods Study

Authors of this article:

Shaira Baptista1, 2 Author Orcid Image ;   Greg Wadley1 Author Orcid Image ;   Dominique Bird3 Author Orcid Image ;   Brian Oldenburg1 Author Orcid Image ;   Jane Speight1, 2 Author Orcid Image ;   The My Diabetes Coach Research Group4
Article Authors Cited by (37) Tweetations (5) Metrics

Journals

  1. Gong E, Baptista S, Russell A, Scuffham P, Riddell M, Speight J, Bird D, Williams E, Lotfaliany M, Oldenburg B. My Diabetes Coach, a Mobile App–Based Interactive Conversational Agent to Support Type 2 Diabetes Self-Management: Randomized Effectiveness-Implementation Trial. Journal of Medical Internet Research 2020;22(11):e20322 View
  2. Schnitzer K, Cather C, Zvonar V, Dechert A, Plummer R, Lowman K, Pachas G, Potter K, Evins A. Patient Experience and Predictors of Improvement in a Group Behavioral and Educational Intervention for Individuals With Diabetes and Serious Mental Illness: Mixed Methods Case Study. Journal of Participatory Medicine 2021;13(1):e21934 View
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  14. Nassar C, Dunlea R, Montero A, Tweedt A, Magee M. Feasibility and Preliminary Behavioral and Clinical Efficacy of a Diabetes Education Chatbot Pilot Among Adults With Type 2 Diabetes. Journal of Diabetes Science and Technology 2025;19(1):54 View
  15. Hunter R, Beattie M, O'Malley C, Gorely T. Mobile apps to self-manage chronic low back pain: A realist synthesis exploring what works, for whom and in what circumstances. PEC Innovation 2023;3:100175 View
  16. 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
  17. Griffin A, Khairat S, Bailey S, Chung A. A chatbot for hypertension self-management support: user-centered design, development, and usability testing. JAMIA Open 2023;6(3) View
  18. Pinedo-Torres I, Garcia-Villasante E, Gutierrez-Ortiz C, Quispe-Sarria C, Morales-Pocco K, Cedillo-Balcázar J, Moran-Mariños C, Baca-Carrasco V. The doctor-patient relationship and barriers in non-verbal communication during teleconsultation in the era of COVID-19: A scoping review. F1000Research 2023;12:676 View
  19. Bul K, Holliday N, Bhuiyan M, Clark C, Allen J, Wark P. Usability and Preliminary Efficacy of an Artificial Intelligence–Driven Platform Supporting Dietary Management in Diabetes: Mixed Methods Study. JMIR Human Factors 2023;10:e43959 View
  20. Pinto A, Martinho D, Matos J, Greer D, Vieira A, Ramalho A, Marreiros G, Freitas A. Recommendation systems to promote behavior change in patients with diabetes mellitus type 2: A systematic review. Expert Systems with Applications 2023;231:120726 View
  21. Jiang Z, Huang X, Wang Z, Liu Y, Huang L, Luo X. Embodied Conversational Agents for Chronic Diseases: Scoping Review. Journal of Medical Internet Research 2024;26:e47134 View
  22. Kashyap N, Sebastian A, Lynch C, Jansons P, Maddison R, Dingler T, Oldenburg B. Engagement With Conversational Agent–Enabled Interventions in Cardiometabolic Disease Management: Protocol for a Systematic Review. JMIR Research Protocols 2024;13:e52973 View
  23. 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
  24. de Souza Ferreira E, de Oliveira A, Dias M, da Costa G, Januário J, Botelho G, Cotta R. Mobile solution and chronic diseases: development and implementation of a mobile application and digital platform for collecting, analyzing data, monitoring and managing health care. BMC Health Services Research 2024;24(1) View
  25. MacNeill A, MacNeill L, Luke A, Doucet S. Health Professionals’ Views on the Use of Conversational Agents for Health Care: Qualitative Descriptive Study. Journal of Medical Internet Research 2024;26:e49387 View
  26. Uetova E, Hederman L, Ross R, O’Sullivan D. Exploring the characteristics of conversational agents in chronic disease management interventions: A scoping review. DIGITAL HEALTH 2024;10 View
  27. So J, Estrada S, Jörke M, Bianchi E, Wang M, Haghighi N, Fessele K, Landay J, Cuadra A. "They Make Us Old Before We're Old": Designing Ethical Health Technology with and for Older Adults. Proceedings of the ACM on Human-Computer Interaction 2024;8(CSCW2):1 View
  28. Wu Y, Zhang J, Ge P, Duan T, Zhou J, Wu Y, Zhang Y, Liu S, Liu X, Wan E, Sun X. Application of Chatbots to Help Patients Self-Manage Diabetes: Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2024;26:e60380 View
  29. Gabarron E, Randine P, Årsand E. Behavioral Intervention Functions in Type 2 Diabetes Apps: Literature Review. Journal of Diabetes Science and Technology 2024 View
  30. Bramanti A, Corallo A, Clemente G, Greco L, Garofano M, Giordano M, Pascarelli C, Mitrano G, Di Palo M, Di Spirito F, Amato M, Bartolomeo M, Del Sorbo R, Ciccarelli M, Bramanti P, Ritrovato P. Exploring the Role of Voice Assistants in Managing Noncommunicable Diseases: A Systematic Review on Clinical, Behavioral Outcomes, Quality of Life, and User Experiences. Healthcare 2025;13(5):517 View
  31. Haegens L, Huiskes V, van den Bemt B, Bekker C. Factors Influencing the Intentions of Patients With Inflammatory Rheumatic Diseases to Use a Digital Human for Medication Information: Qualitative Study. Journal of Medical Internet Research 2025;27:e57697 View
  32. Miles O, Pinckard S, Gungor M, Ridge D, Nadarzynski T. Exploring acceptability of AI-enabled voice assistants and digital AI humans in healthcare: a cross-sectional survey. AI & SOCIETY 2025 View

Conference Proceedings

  1. Sidji M, Smith W, Rogerson M. Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. The Hidden Rules of Hanabi: How Humans Outperform AI Agents View
  2. Sook Park M, Basak Upama P, Ahmed Anik A, Iqbal Ahamed S, Luo J, Tian S, Rabbani M, Oh H. 2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC). A Survey of Conversational Agents and Their Applications for Self-Management of Chronic Conditions View
  3. Bin Sawad A, Alakhtar R, Alturki B, Narayan B, Lin S, Prasad M, Kocaballi A. Proceedings of the 35th Australian Computer-Human Interaction Conference. Towards a Design Framework for Conversational Agents for Diabetes Prevention View
  4. Pietrantoni N. 2023 Fourth International Conference on Information Systems and Software Technologies (ICI2ST). A Structured Literature Review on Conversational Agents that Empower Health Interventions View
  5. Neef C, Linden K, Richert A. 2024 33rd IEEE International Conference on Robot and Human Interactive Communication (ROMAN). To Be or Not to (Physically) Be? A Study on Preferences in Embodied Socially Interactive Agents for Health Monitoring of Older Adults* View