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

Digital Health Reviews (782) Artificial Intelligence (668) Chatbots and Conversational Agents (186) Web-based and Mobile Health Interventions (2112) Natural Language Processing (492) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1031)

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

Authors of this article:

Theresa Schachner 1 Author Orcid Image ;   Roman Keller 1, 2 Author Orcid Image ;   Florian von Wangenheim 1, 2 Author Orcid Image
Article Authors Cited by (46) Tweetations (21) Metrics

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 2023:1 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
  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 2022:1 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

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