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

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/20701, 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

Journals

  1. Schachner T, Gross C, Hasl A, v Wangenheim F, Kowatsch T. Deliberative and Paternalistic Interaction Styles for Conversational Agents in Digital Health: Procedure and Validation Through a Web-Based Experiment. Journal of Medical Internet Research 2021;23(1):e22919 View
  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
  3. Kowatsch T, Schachner T, Harperink S, Barata F, Dittler U, Xiao G, Stanger C, v Wangenheim F, Fleisch E, Oswald H, Möller A. Conversational Agents as Mediating Social Actors in Chronic Disease Management Involving Health Care Professionals, Patients, and Family Members: Multisite Single-Arm Feasibility Study. Journal of Medical Internet Research 2021;23(2):e25060 View
  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
  6. Griffin A, Xing Z, Mikles S, Bailey S, Khairat S, Arguello J, Wang Y, Chung A. Information needs and perceptions of chatbots for hypertension medication self-management: a mixed methods study. JAMIA Open 2021;4(2) View
  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;106(6):656 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
  14. Allouch M, Azaria A, Azoulay R. Conversational Agents: Goals, Technologies, Vision and Challenges. Sensors 2021;21(24):8448 View
  15. Bin Sawad A, Narayan B, Alnefaie A, Maqbool A, Mckie I, Smith J, Yuksel B, Puthal D, Prasad M, Kocaballi A. A Systematic Review on Healthcare Artificial Intelligent Conversational Agents for Chronic Conditions. Sensors 2022;22(7):2625 View
  16. Guerreiro M, Angelini L, Rafael Henriques H, El Kamali M, Baixinho C, Balsa J, Félix I, Khaled O, Carmo M, Cláudio A, Caon M, Daher K, Alexandre B, Padinha M, Mugellini E. Conversational Agents for Health and Well-being Across the Life Course: Protocol for an Evidence Map. JMIR Research Protocols 2021;10(9):e26680 View
  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
  18. Rodriguez‐Arrastia M, Martinez‐Ortigosa A, Ruiz‐Gonzalez C, Ropero‐Padilla C, Roman P, Sanchez‐Labraca N. Experiences and perceptions of final‐year nursing students of using a chatbot in a simulated emergency situation: A qualitative study. Journal of Nursing Management 2022;30(8):3874 View
  19. Puspitasari I, Rinawan F, Purnama W, Susiarno H, Susanti A. Development of a Chatbot for Pregnant Women on a Posyandu Application in Indonesia: From Qualitative Approach to Decision Tree Method. Informatics 2022;9(4):88 View
  20. Saffaryazdi N, Wasim S, Dileep K, Nia A, Nanayakkara S, Broadbent E, Billinghurst M. Using Facial Micro-Expressions in Combination With EEG and Physiological Signals for Emotion Recognition. Frontiers in Psychology 2022;13 View
  21. Peng M, Wickersham J, Altice F, Shrestha R, Azwa I, Zhou X, Halim M, Ikhtiaruddin W, Tee V, Kamarulzaman A, Ni Z. Formative Evaluation of the Acceptance of HIV Prevention Artificial Intelligence Chatbots By Men Who Have Sex With Men in Malaysia: Focus Group Study. JMIR Formative Research 2022;6(10):e42055 View
  22. Pithpornchaiyakul S, Naorungroj S, Pupong K, Hunsrisakhun J. Using a Chatbot as an Alternative Approach for In-Person Toothbrushing Training During the COVID-19 Pandemic: Comparative Study. Journal of Medical Internet Research 2022;24(10):e39218 View
  23. op den Akker H, Cabrita M, Pnevmatikakis A. Digital Therapeutics: Virtual Coaching Powered by Artificial Intelligence on Real-World Data. Frontiers in Computer Science 2021;3 View
  24. Alloatti F, Bosca A, Di Caro L, Pieraccini F. Diabetes and conversational agents: the AIDA project case study. Discover Artificial Intelligence 2021;1(1) View
  25. Corbett C, Wright P, Jones K, Parmer M. Voice-Activated Virtual Home Assistant Use and Social Isolation and Loneliness Among Older Adults: Mini Review. Frontiers in Public Health 2021;9 View
  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
  27. Budler L, Gosak L, Stiglic G. Review of artificial intelligence‐based question‐answering systems in healthcare. WIREs Data Mining and Knowledge Discovery 2023;13(2) View
  28. Roy S, Meena T, Lim S. Demystifying Supervised Learning in Healthcare 4.0: A New Reality of Transforming Diagnostic Medicine. Diagnostics 2022;12(10):2549 View
  29. Huq S, Maskeliūnas R, Damaševičius R. Dialogue agents for artificial intelligence-based conversational systems for cognitively disabled: a systematic review. Disability and Rehabilitation: Assistive Technology 2024;19(3):1059 View
  30. García-Martínez I, Fernández-Batanero J, Fernández-Cerero J, León S. Analysing the Impact of Artificial Intelligence and Computational Sciences on Student Performance: Systematic Review and Meta-analysis. Journal of New Approaches in Educational Research 2023;12(1):171 View
  31. Saiyed A, Layton J, Borsari B, Cheng J, Kanzaveli T, Tsvetovat M, Satterfield J. Technology-Assisted Motivational Interviewing: Developing a Scalable Framework for Promoting Engagement with Tobacco Cessation Using NLP and Machine Learning. Procedia Computer Science 2022;206:121 View
  32. Keller R, Hartmann S, Teepe G, Lohse K, Alattas A, Tudor Car L, Müller-Riemenschneider F, von Wangenheim F, Mair J, Kowatsch T. Digital Behavior Change Interventions for the Prevention and Management of Type 2 Diabetes: Systematic Market Analysis. Journal of Medical Internet Research 2022;24(1):e33348 View
  33. Graham S, Pitter V, Hori J, Stein N, Branch O. Weight loss in a digital app-based diabetes prevention program powered by artificial intelligence. DIGITAL HEALTH 2022;8:205520762211306 View
  34. Aggarwal A, Tam C, Wu D, Li X, Qiao S. Artificial Intelligence–Based Chatbots for Promoting Health Behavioral Changes: Systematic Review. Journal of Medical Internet Research 2023;25:e40789 View
  35. Sasseville M, Barony Sanchez R, Yameogo A, Bergeron-Drolet L, Bergeron F, Gagnon M. Interactive Conversational Agents for Health Promotion, Prevention, and Care: Protocol for a Mixed Methods Systematic Scoping Review. JMIR Research Protocols 2022;11(10):e40265 View
  36. Vázquez A, López Zorrilla A, Olaso J, Torres M. Dialogue Management and Language Generation for a Robust Conversational Virtual Coach: Validation and User Study. Sensors 2023;23(3):1423 View
  37. Au J, Falloon C, Ravi A, Ha P, Le S. User Acceptance Testing for Lucy Liverbot: An Artificial Intelligence Chatbot to Improve Health Literacy in Patients with Decompensated Chronic Liver Disease. SSRN Electronic Journal 2022 View
  38. Mair J, Castro O, Salamanca-Sanabria A, Frese B, von Wangenheim F, Tai E, Kowatsch T, Müller-Riemenschneider F. Exploring the potential of mobile health interventions to address behavioural risk factors for the prevention of non-communicable diseases in Asian populations: a qualitative study. BMC Public Health 2023;23(1) View
  39. Liu C, Zowghi D, Peng G, Kong S. Information quality of conversational agents in healthcare. Information Development 2023:026666692311724 View
  40. Castro O, Mair J, Salamanca-Sanabria A, Alattas A, Keller R, Zheng S, Jabir A, Lin X, Frese B, Lim C, Santhanam P, van Dam R, Car J, Lee J, Tai E, Fleisch E, von Wangenheim F, Tudor Car L, Müller-Riemenschneider F, Kowatsch T. Development of “LvL UP 1.0”: a smartphone-based, conversational agent-delivered holistic lifestyle intervention for the prevention of non-communicable diseases and common mental disorders. Frontiers in Digital Health 2023;5 View
  41. Lozano A, Blanco Fontao C. Is the Education System Prepared for the Irruption of Artificial Intelligence? A Study on the Perceptions of Students of Primary Education Degree from a Dual Perspective: Current Pupils and Future Teachers. Education Sciences 2023;13(7):733 View
  42. Tian X, Kumar A, Solomon C, Calder K, Katuka G, Song Y, Celepkolu M, Pezzullo L, Barrett J, Boyer K, Israel M. AMBY: A development environment for youth to create conversational agents. International Journal of Child-Computer Interaction 2023;38:100618 View
  43. Chow J, Blight V, Brown M, Glynn V, Lane B, Larkin A, Marshall S, Matthews P, Rowles M, Warner B. Curious thing, an artificial intelligence (AI)-based conversational agent for COVID-19 patient management. Australian Journal of Primary Health 2023;29(4):312 View
  44. Wang B, Asan O, Mansouri M. Perspectives of Patients With Chronic Diseases on Future Acceptance of AI–Based Home Care Systems: Cross-Sectional Web-Based Survey Study. JMIR Human Factors 2023;10:e49788 View
  45. Ridho W. An Examination of the Opportunities and Challenges of Conversational Artificial Intelligence in Small and Medium Enterprises. Review of Business and Economics Studies 2023;11(3):6 View
  46. Baglivo F, De Angelis L, Casigliani V, Arzilli G, Privitera G, Rizzo C. Exploring the Possible Use of AI Chatbots in Public Health Education: Feasibility Study. JMIR Medical Education 2023;9:e51421 View
  47. Tan T, Roslan N, Li J, Zou X, Chen X, - R, Santosa A. Chatbots for Symptom Screening and Patient Education: A Pilot Study on Patient Acceptability in Autoimmune Inflammatory Diseases (Preprint). JMIR Formative Research 2023 View
  48. Gleason K, Wu M, Wec A, Powell D, Zhang T, Gamper M, Green A, Nothelle S, Amjad H, Wolff J. Use of the patient portal among older adults with diagnosed dementia and their care partners. Alzheimer's & Dementia 2023;19(12):5663 View
  49. Au J, Falloon C, Ravi A, Ha P, Le S. A Beta-Prototype Chatbot for Increasing Health Literacy of Patients With Decompensated Cirrhosis: Usability Study. JMIR Human Factors 2023;10:e42506 View
  50. 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 2023:193229682311780 View
  51. 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
  52. Singareddy S, SN V, Jaramillo A, Yasir M, Iyer N, Hussein S, Nath T. Artificial Intelligence and Its Role in the Management of Chronic Medical Conditions: A Systematic Review. Cureus 2023 View
  53. Arntz A, Weber F, Handgraaf M, Lällä K, Korniloff K, Murtonen K, Chichaeva J, Kidritsch A, Heller M, Sakellari E, Athanasopoulou C, Lagiou A, Tzonichaki I, Salinas-Bueno I, Martínez-Bueso P, Velasco-Roldán O, Schulz R, Grüneberg C. Technologies in Home-Based Digital Rehabilitation: Scoping Review. JMIR Rehabilitation and Assistive Technologies 2023;10:e43615 View
  54. Andrews N, Ireland D, Vijayakumar P, Burvill L, Hay E, Westerman D, Rose T, Schlumpf M, Strong J, Claus A. Acceptability of a Pain History Assessment and Education Chatbot (Dolores) Across Age Groups in Populations With Chronic Pain: Development and Pilot Testing. JMIR Formative Research 2023;7:e47267 View
  55. Beyeler M, Légeret C, Kiwitz F, van der Horst K. Usability and Overall Perception of a Health Bot for Nutrition-Related Questions for Patients Receiving Bariatric Care: Mixed Methods Study. JMIR Human Factors 2023;10:e47913 View
  56. Gleason K, Powell D, Wec A, Zou X, Gamper M, Peereboom D, Wolff J. Patient portal interventions: a scoping review of functionality, automation used, and therapeutic elements of patient portal interventions. JAMIA Open 2023;6(3) View
  57. Scholten M, Kelders S, Van Gemert-Pijnen J. Similarity in action with an Embodied Conversational Agent; can synchronous speech yield higher levels of rapport? An exploratory eHealth study. Interaction Design and Architecture(s) 2023;(56):130 View
  58. Volochtchuk A, Leite H, Vieira A. Voice assistant technology applied to populations with developmental and physical disabilities. Behaviour & Information Technology 2023:1 View
  59. Wang B, Asan O, Zhang Y. Shaping the future of chronic disease management: Insights into patient needs for AI-based homecare systems. International Journal of Medical Informatics 2024;181:105301 View
  60. 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 2023:1 View
  61. Ulrich S, Gantenbein A, Zuber V, Von Wyl A, Kowatsch T, Künzli H. Development and Evaluation of a Smartphone-Based Chatbot Coach to Facilitate a Balanced Lifestyle in Individuals With Headaches (BalanceUP App): Randomized Controlled Trial. Journal of Medical Internet Research 2024;26:e50132 View
  62. 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
  63. Minghui Y, Hu Y, Lu Z. How do nurses work in chronic management in the age of artificial intelligence? development and future prospects. DIGITAL HEALTH 2023;9 View
  64. Ma Y, Achiche S, Pomey M, Paquette J, Adjtoutah N, Vicente S, Engler K, Laymouna M, Lessard D, Lemire B, Asselah J, Therrien R, Osmanlliu E, Zawati M, Joly Y, Lebouché B. Adapting and Evaluating an AI-Based Chatbot Through Patient and Stakeholder Engagement to Provide Information for Different Health Conditions: Master Protocol for an Adaptive Platform Trial (the MARVIN Chatbots Study). JMIR Research Protocols 2024;13:e54668 View
  65. 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
  66. Hussain R, Sabir A, Lee D, Zaidi S, Pedro A, Abbas M, Park C. Conversational AI-based VR system to improve construction safety training of migrant workers. Automation in Construction 2024;160:105315 View
  67. Weber S, Wyszynski M, Godefroid M, Plattfaut R, Niehaves B. How do medical professionals make sense (or not) of AI? A social-media-based computational grounded theory study and an online survey. Computational and Structural Biotechnology Journal 2024;24:146 View
  68. Kurniawan M, Handiyani H, Nuraini T, Hariyati R, Sutrisno S. A systematic review of artificial intelligence-powered (AI-powered) chatbot intervention for managing chronic illness. Annals of Medicine 2024;56(1) View
  69. Esmaeilzadeh P. Challenges and strategies for wide-scale artificial intelligence (AI) deployment in healthcare practices: A perspective for healthcare organizations. Artificial Intelligence in Medicine 2024;151:102861 View
  70. Choi S, Seo J, Hernandez M, Kitsiou S. Conversational agents in mHealth: use patterns, challenges, and design opportunities for individuals with visual impairments. Journal of Technology in Behavioral Science 2024 View
  71. Laymouna M, Ma Y, Lessard D, Schuster T, Engler K, Lebouché B. Roles, Users, Benefits and Limitations of Chatbots in Healthcare: A Rapid Review (Preprint). Journal of Medical Internet Research 2024 View
  72. Manzo D, Jiang Y, Elyan E, Isaacs J. Artificial Intelligence-Based Conversational Agents Used for Sustainable Fashion: Systematic Literature Review. International Journal of Human–Computer Interaction 2024:1 View
  73. 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 View
  74. Ulrich S, Lienhard N, Künzli H, Kowatsch T. A Chatbot-Delivered Stress Management Coaching for Students (MISHA App): Pilot Randomized Controlled Trial. JMIR mHealth and uHealth 2024;12:e54945 View

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
  6. Ancker J, Turchioe M. Clinical Decision Support and Beyond. View
  7. Kyriazakos S, Pnevmatikakis A, op den Akker H, Kostopoulou K. Personalized Medicine Meets Artificial Intelligence. View
  8. Shoenbill K, Kasturi S, Mendonca E. Chronic Illness Care. View
  9. Lal M, Neduncheliyan S. Design in the Era of Industry 4.0, Volume 1. View
  10. Gwynne M. Chronic Illness Care. View
  11. Stević I, Vukmirović D, Vujović V, Marinković V. Innovation in Medicine and Healthcare. View
  12. Shah M, Kavathiya H. Artificial Intelligence in Education: The Power and Dangers of ChatGPT in the Classroom. View
  13. Preety , Singh J, Yadav M. Intelligent Computing for Sustainable Development. View
  14. Shreya H, Kumar T. Smart Trends in Computing and Communications. View