Published on in Vol 22 , No 9 (2020) :September

Preprints (earlier versions) of this paper are available at, first published .
Artificial Intelligence-Based Conversational Agents for Chronic Conditions: Systematic Literature Review

Artificial Intelligence-Based Conversational Agents for Chronic Conditions: Systematic Literature Review

Artificial Intelligence-Based Conversational Agents for Chronic Conditions: Systematic Literature Review


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  2. Gross C, Schachner T, Hasl A, Kohlbrenner D, Clarenbach C, Wangenheim F, Kowatsch T. Personalization of Conversational Agent-Patient Interaction Styles for Chronic Disease Management: Two Consecutive Cross-sectional Questionnaire Studies. Journal of Medical Internet Research 2021;23(5):e26643 View
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  4. Bérubé C, Schachner T, Keller R, Fleisch E, v Wangenheim F, Barata F, Kowatsch T. Voice-Based Conversational Agents for the Prevention and Management of Chronic and Mental Health Conditions: Systematic Literature Review. Journal of Medical Internet Research 2021;23(3):e25933 View
  5. Ye B, Kim J, Suh C, Choi S, Choi M, Kim D, Son B. Development of a Chatbot Program for Follow-Up Management of Workers’ General Health Examinations in Korea: A Pilot Study. International Journal of Environmental Research and Public Health 2021;18(4):2170 View
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  7. Tanioka T, Yokotani T, Tanioka R, Betriana F, Matsumoto K, Locsin R, Zhao Y, Osaka K, Miyagawa M, Schoenhofer S. Development Issues of Healthcare Robots: Compassionate Communication for Older Adults with Dementia. International Journal of Environmental Research and Public Health 2021;18(9):4538 View
  8. Siedlikowski S, Noël L, Moynihan S, Robin M. Chloe for COVID-19: The Evolution of an Intelligent Conversational Agent to Address Infodemic Management Needs During the COVID-19 Pandemic (Preprint). Journal of Medical Internet Research 2021 View
  9. Laranjo L, Shaw T, Trivedi R, Thomas S, Charlston E, Klimis H, Thiagalingam A, Kumar S, Tan T, Nguyen T, Marschner S, Chow C. Coordinating Health Care With Artificial Intelligence–Supported Technology for Patients With Atrial Fibrillation: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2022;11(4):e34470 View
  10. Zhao Q, Nazir S, Rauf H. English Multimode Production and Usage by Artificial Intelligence and Online Reading for Sustaining Effectiveness. Mobile Information Systems 2022;2022:1 View
  11. Boumans R, van de Sande Y, Thill S, Bosse T. Voice-Enabled Intelligent Virtual Agents for People With Amnesia: Systematic Review. JMIR Aging 2022;5(2):e32473 View
  12. Taylor J, Subramanian A, Freitas A, Ferreira D, Dickinson C. What do individuals with visual impairment need and want from a dialogue-based digital assistant?. Clinical and Experimental Optometry 2023:1 View
  13. Ollier J, Neff S, Dworschak C, Sejdiji A, Santhanam P, Keller R, Xiao G, Asisof A, Rüegger D, Bérubé C, Hilfiker Tomas L, Neff J, Yao J, Alattas A, Varela-Mato V, Pitkethly A, Vara M, Herrero R, Baños R, Parada C, Agatheswaran R, Villalobos V, Keller O, Chan W, Mishra V, Jacobson N, Stanger C, He X, von Wyl V, Weidt S, Haug S, Schaub M, Kleim B, Barth J, Witt C, Scholz U, Fleisch E, Wangenheim F, Car L, Müller-Riemenschneider F, Hauser-Ulrich S, Asomoza A, Salamanca-Sanabria A, Mair J, Kowatsch T. Elena+ Care for COVID-19, a Pandemic Lifestyle Care Intervention: Intervention Design and Study Protocol. Frontiers in Public Health 2021;9 View
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  17. Saka A, Oyedele L, Akanbi L, Ganiyu S, Chan D, Bello S. Conversational artificial intelligence in the AEC industry: A review of present status, challenges and opportunities. Advanced Engineering Informatics 2023;55:101869 View
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  26. Dhinagaran D, Sathish T, Kowatsch T, Griva K, Best J, Tudor Car L. Public Perceptions of Diabetes, Healthy Living, and Conversational Agents in Singapore: Needs Assessment. JMIR Formative Research 2021;5(11):e30435 View
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Books/Policy Documents

  1. Liu C, Zhang B, Peng G. Distributed, Ambient and Pervasive Interactions. View
  2. Das A, Sen V, Rose A. Augmenting Neurological Disorder Prediction and Rehabilitation Using Artificial Intelligence. View
  3. Gupta J, Raychaudhuri N, Lee M. Machine Learning and Autonomous Systems. View
  4. Kowatsch T, Fleisch E. Connected Business. View
  5. Akkineni H, Lakshmi P, Sarada L. IoT and Analytics for Sensor Networks. View