Published on in Vol 22 , No 8 (2020) :August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17158, first published .
Conversational Agents in Health Care: Scoping Review and Conceptual Analysis

Conversational Agents in Health Care: Scoping Review and Conceptual Analysis

Conversational Agents in Health Care: Scoping Review and Conceptual Analysis

Journals

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  3. Almalki M, Giannicchi A. Health Apps for Combating COVID-19: Descriptive Review and Taxonomy. JMIR mHealth and uHealth 2021;9(3):e24322 View
  4. 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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  6. 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
  7. te Pas M, Rutten W, Bouwman R, Buise M. User Experience of a Chatbot Questionnaire Versus a Regular Computer Questionnaire: Prospective Comparative Study. JMIR Medical Informatics 2020;8(12):e21982 View
  8. da Silva Lima Roque G, Roque de Souza R, Araújo do Nascimento J, de Campos Filho A, de Melo Queiroz S, Ramos Vieira Santos I. Content validation and usability of a chatbot of guidelines for wound dressing. International Journal of Medical Informatics 2021;151:104473 View
  9. Lambercy O, Lehner R, Chua K, Wee S, Rajeswaran D, Kuah C, Ang W, Liang P, Campolo D, Hussain A, Aguirre-Ollinger G, Guan C, Kanzler C, Wenderoth N, Gassert R. Neurorehabilitation From a Distance: Can Intelligent Technology Support Decentralized Access to Quality Therapy?. Frontiers in Robotics and AI 2021;8 View
  10. Martinengo L, Lo N, Goh W, Tudor Car L. Choice of Behavioral Change Techniques in Health Care Conversational Agents: Protocol for a Scoping Review. JMIR Research Protocols 2021;10(7):e30166 View
  11. Morales H, Guedes M, Silva J, Massuda A. COVID-19 in Brazil—Preliminary Analysis of Response Supported by Artificial Intelligence in Municipalities. Frontiers in Digital Health 2021;3 View
  12. Mentzel H. Künstliche Intelligenz bei Bildauswertung und Diagnosefindung. Monatsschrift Kinderheilkunde 2021;169(8):694 View
  13. Luo T, Aguilera A, Lyles C, Figueroa C. Promoting Physical Activity Through Conversational Agents: Mixed Methods Systematic Review. Journal of Medical Internet Research 2021;23(9):e25486 View
  14. Sezgin E, D'Arcy S. Editorial: Voice Technology and Conversational Agents in Health Care Delivery. Frontiers in Public Health 2022;10 View
  15. Dhinagaran D, Sathish T, Soong A, Theng Y, Best J, Tudor Car L. Conversational Agent for Healthy Lifestyle Behavior Change: Web-Based Feasibility Study. JMIR Formative Research 2021;5(12):e27956 View
  16. Siedlikowski S, Noël L, Moynihan S, Robin M. Chloe for COVID-19: Evolution of an Intelligent Conversational Agent to Address Infodemic Management Needs During the COVID-19 Pandemic. Journal of Medical Internet Research 2021;23(9):e27283 View
  17. He L, Balaji D, Wiers R, Antheunis M, Krahmer E. Effectiveness and Acceptability of Conversational Agents for Smoking Cessation: A Systematic Review and Meta-analysis. Nicotine & Tobacco Research 2022 View
  18. Tanaka H, Nakamura S. The Acceptability of Virtual Characters as Social Skills Trainers: Usability Study. JMIR Human Factors 2022;9(1):e35358 View
  19. Powell L, Nizam M, Nour R, Zidoun Y, Sleibi R, Kaladhara Warrier S, Al Suwaidi H, Zary N. Conversational Agents in Health Education: Protocol for a Scoping Review. JMIR Research Protocols 2022;11(4):e31923 View
  20. Fardouly J, Crosby R, Sukunesan S. Potential benefits and limitations of machine learning in the field of eating disorders: current research and future directions. Journal of Eating Disorders 2022;10(1) View
  21. Martinengo L, Jabir A, Goh W, Lo N, Ho M, Kowatsch T, Atun R, Michie S, Tudor Car L. Conversational Agents in Health Care: Scoping Review of Their Behavior Change Techniques and Underpinning Theory. Journal of Medical Internet Research 2022;24(10):e39243 View
  22. Soni H, Ivanova J, Wilczewski H, Bailey A, Ong T, Narma A, Bunnell B, Welch B. Virtual conversational agents versus online forms: Patient experience and preferences for health data collection. Frontiers in Digital Health 2022;4 View
  23. Clay I, Cormack F, Fedor S, Foschini L, Gentile G, van Hoof C, Kumar P, Lipsmeier F, Sano A, Smarr B, Vandendriessche B, De Luca V. Measuring Health-Related Quality of Life With Multimodal Data: Viewpoint. Journal of Medical Internet Research 2022;24(5):e35951 View
  24. Holohan M, Fiske A. “Like I’m Talking to a Real Person”: Exploring the Meaning of Transference for the Use and Design of AI-Based Applications in Psychotherapy. Frontiers in Psychology 2021;12 View
  25. Shan Y, Ji M, Xie W, Qian X, Li R, Zhang X, Hao T. Language Use in Conversational Agent–Based Health Communication: Systematic Review. Journal of Medical Internet Research 2022;24(7):e37403 View
  26. Wang H, Gupta S, Singhal A, Muttreja P, Singh S, Sharma P, Piterova A. An Artificial Intelligence Chatbot for Young People’s Sexual and Reproductive Health in India (SnehAI): Instrumental Case Study. Journal of Medical Internet Research 2022;24(1):e29969 View
  27. Chuang T, Cheng W, Chiu Y, Fan Y, Chi C, Chang C, Liao C. Free interactive counselling program in a mobile communication application for improving health education on indwelling ureteric stents after ureterorenoscopic lithotripsy: An observational study. DIGITAL HEALTH 2022;8:205520762211177 View
  28. Parmar P, Ryu J, Pandya S, Sedoc J, Agarwal S. Health-focused conversational agents in person-centered care: a review of apps. npj Digital Medicine 2022;5(1) View
  29. Melville N, Robert L, Xiao X. Putting humans back in the loop: An affordance conceptualization of the 4th industrial revolution. Information Systems Journal 2022 View
  30. Morales-de-Jesús V, Gómez-Adorno H, Somodevilla-García M, Vilariño D. Conversational System as Assistant Tool in Reminiscence Therapy for People with Early-Stage of Alzheimer’s. Healthcare 2021;9(8):1036 View
  31. 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
  32. Chagas B, Pagano A, Prates R, Praes E, Ferreguetti K, Vaz H, Reis Z, Ribeiro L, Ribeiro A, Pedroso T, Beleigoli A, Oliveira C, Marcolino M. Evaluating User Experience With a Chatbot Designed as a Public Health Response to the COVID-19 Pandemic in Brazil: Mixed Methods Study. JMIR Human Factors 2023;10:e43135 View
  33. Allouch M, Azaria A, Azoulay R. Conversational Agents: Goals, Technologies, Vision and Challenges. Sensors 2021;21(24):8448 View
  34. Tsoi E, Mak W, Ho C, Yeung G. A Web-Based Stratified Stepped Care Mental Health Platform (TourHeart): Semistructured Interviews With Stakeholders. JMIR Human Factors 2022;9(2):e35057 View
  35. Perez-Ramos J, Leon-Thomas M, Smith S, Silverman L, Perez-Torres C, Hall W, Iadarola S. COVID-19 Vaccine Equity and Access: Case Study for Health Care Chatbots. JMIR Formative Research 2023;7:e39045 View
  36. Ennab F, Babar M, Khan A, Mittal R, Nawaz F, Essar M, Fazel S. Implications of social media misinformation on COVID-19 vaccine confidence among pregnant women in Africa. Clinical Epidemiology and Global Health 2022;14:100981 View
  37. 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
  38. Hayakawa M, Watanabe O, Shiga K, Fujishita M, Yamaki C, Ogo Y, Takahashi T, Ikeguchi Y, Takayama T. Exploring types of conversational agents for resolving cancer patients’ questions and concerns: Analysis of 100 telephone consultations on breast cancer. Patient Education and Counseling 2023;106:75 View
  39. Nguyen T, Waizenegger L, Techatassanasoontorn A. “Don’t Neglect the User!” – Identifying Types of Human-Chatbot Interactions and their Associated Characteristics. Information Systems Frontiers 2022;24(3):797 View
  40. Sieber C, Haag C, Polhemus A, Sylvester R, Kool J, Gonzenbach R, von Wyl V. Feasibility and scalability of a fitness tracker study: Results from a longitudinal analysis of persons with multiple sclerosis. Frontiers in Digital Health 2023;5 View
  41. Weishaupt I, Mages-Torluoglu J, Kunze C, Weidmann C, Steinhausen K, Bailer A. Mobile Digital Health Intervention to Promote Nutrition and Physical Activity Behaviors Among Long-term Unemployed in Rural Areas: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2022;11(11):e40321 View
  42. Nam K, Kim D, Kim D, Lee J, Lee J, Kim M, Park J, Hwang J, Yun S, Choi B, Kim M, Han I. Conversational Artificial Intelligence for Spinal Pain Questionnaire: Validation and User Satisfaction. Neurospine 2022;19(2):348 View
  43. MacNeill A, MacNeill L, Doucet S, Luke A. Professional representation of conversational agents for health care: a scoping review protocol. JBI Evidence Synthesis 2022;20(2):666 View
  44. 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
  45. Chen T, Chen L, Li S, Du J, Su H, Jiang H, Wu Q, Zhang L, Bao J, Zhao M. Virtual Digital Psychotherapist App–Based Treatment in Patients With Methamphetamine Use Disorder (Echo-APP): Single-Arm Pilot Feasibility and Efficacy Study. JMIR mHealth and uHealth 2023;11:e40373 View
  46. 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
  47. Monteiro M, Pantani D, Pinsky I, Hernandes Rocha T. The development of the Pan American Health Organization digital health specialist on alcohol use. Frontiers in Digital Health 2022;4 View
  48. Denecke K, May R. Developing a Technical-Oriented Taxonomy to Define Archetypes of Conversational Agents in Health Care: Literature Review and Cluster Analysis. Journal of Medical Internet Research 2023;25:e41583 View
  49. Malamas N, Papangelou K, Symeonidis A. Upon Improving the Performance of Localized Healthcare Virtual Assistants. Healthcare 2022;10(1):99 View
  50. Cavalieri S, Vener C, LeBlanc M, Lopez-Perez L, Fico G, Resteghini C, Monzani D, Marton G, Pravettoni G, Moreira-Soares M, Filippidou D, Almeida A, Bilbao A, Mehanna H, Singer S, Thomas S, Lacerenza L, Manfuso A, Copelli C, Mercalli F, Frigessi A, Martinelli E, Licitra L. A multicenter randomized trial for quality of life evaluation by non-invasive intelligent tools during post-curative treatment follow-up for head and neck cancer: Clinical study protocol. Frontiers in Oncology 2023;13 View
  51. Smriti D, Kao T, Rathod R, Shin J, Peng W, Williams J, Mujib M, Colosimo M, Huh-Yoo J. Motivational Interviewing Conversational Agent for Parents as Proxies for Their Children in Healthy Eating: Development and User Testing. JMIR Human Factors 2022;9(4):e38908 View
  52. Nadarzynski T, Puentes V, Pawlak I, Mendes T, Montgomery I, Bayley J, Ridge D, Newman C. Barriers and facilitators to engagement with artificial intelligence (AI)-based chatbots for sexual and reproductive health advice: a qualitative analysis. Sexual Health 2021;18(5):385 View
  53. Isbanner S, O’Shaughnessy P, Steel D, Wilcock S, Carter S. The Adoption of Artificial Intelligence in Health Care and Social Services in Australia: Findings From a Methodologically Innovative National Survey of Values and Attitudes (the AVA-AI Study). Journal of Medical Internet Research 2022;24(8):e37611 View
  54. Siglen E, Vetti H, Lunde A, Hatlebrekke T, Strømsvik N, Hamang A, Hovland S, Rettberg J, Steen V, Bjorvatn C. Ask Rosa – The making of a digital genetic conversation tool, a chatbot, about hereditary breast and ovarian cancer. Patient Education and Counseling 2022;105(6):1488 View
  55. van Bussel M, Odekerken–Schröder G, Ou C, Swart R, Jacobs M. Analyzing the determinants to accept a virtual assistant and use cases among cancer patients: a mixed methods study. BMC Health Services Research 2022;22(1) View
  56. Kocaballi A, Sezgin E, Clark L, Carroll J, Huang Y, Huh-Yoo J, Kim J, Kocielnik R, Lee Y, Mamykina L, Mitchell E, Moore R, Murali P, Mynatt E, Park S, Pasta A, Richards D, Silva L, Smriti D, Spillane B, Zhang Z, Zubatiy T. Design and Evaluation Challenges of Conversational Agents in Health Care and Well-being: Selective Review Study. Journal of Medical Internet Research 2022;24(11):e38525 View
  57. 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
  58. 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
  59. Nißen M, Rüegger D, Stieger M, Flückiger C, Allemand M, v Wangenheim F, Kowatsch T. The Effects of Health Care Chatbot Personas With Different Social Roles on the Client-Chatbot Bond and Usage Intentions: Development of a Design Codebook and Web-Based Study. Journal of Medical Internet Research 2022;24(4):e32630 View
  60. Agher D, Sedki K, Despres S, Albinet J, Jaulent M, Tsopra R. Encouraging Behavior Changes and Preventing Cardiovascular Diseases Using the Prevent Connect Mobile Health App: Conception and Evaluation of App Quality. Journal of Medical Internet Research 2022;24(1):e25384 View
  61. Islam A, Chaudhry B. A Relational Agent for the COVID-19 Patients: Design, Approach, and Implications (Preprint). JMIR Human Factors 2022 View
  62. Salamanca-Sanabria A, Jabir A, Lin X, Alattas A, Kocaballi A, Lee J, Kowatsch T, Tudor Car L. Exploring the Perceptions of mHealth Interventions for the Prevention of Common Mental Disorders in University Students in Singapore: Qualitative Study. Journal of Medical Internet Research 2023;25:e44542 View
  63. Kuhail M, Alturki N, Alramlawi S, Alhejori K. Interacting with educational chatbots: A systematic review. Education and Information Technologies 2023;28(1):973 View
  64. Martinengo L, Lum E, Car J. Evaluation of chatbot-delivered interventions for self-management of depression: Content analysis. Journal of Affective Disorders 2022;319:598 View
  65. Nißen M, Selimi D, Janssen A, Cardona D, Breitner M, Kowatsch T, von Wangenheim F. See you soon again, chatbot? A design taxonomy to characterize user-chatbot relationships with different time horizons. Computers in Human Behavior 2022;127:107043 View
  66. Kim Y, DeLisa J, Chung Y, Shapiro N, Kolar Rajanna S, Barbour E, Loeb J, Turner J, Daley S, Skowlund J, Krishnan J. Recruitment in a research study via chatbot versus telephone outreach: a randomized trial at a minority-serving institution. Journal of the American Medical Informatics Association 2021;29(1):149 View
  67. He J, Yang T. In the era of long COVID, can we seek new techniques for better rehabilitation?. Chronic Diseases and Translational Medicine 2022;8(3):149 View
  68. Jahanshahi H, Kazmi S, Cevik M. Auto Response Generation in Online Medical Chat Services. Journal of Healthcare Informatics Research 2022;6(3):344 View
  69. 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
  70. Kubb C, Foran H. Online Health Information Seeking for Self and Child: An Experimental Study of Parental Symptom Search. JMIR Pediatrics and Parenting 2022;5(2):e29618 View
  71. Eagle T, Blau C, Bales S, Desai N, Li V, Whittaker S. “I don’t know what you mean by `I am anxious'”: A New Method for Evaluating Conversational Agent Responses to Standardized Mental Health Inputs for Anxiety and Depression. ACM Transactions on Interactive Intelligent Systems 2022;12(2):1 View
  72. Balaji D, He L, Giani S, Bosse T, Wiers R, de Bruijn G, Hogben M. Effectiveness and acceptability of conversational agents for sexual health promotion: a systematic review and meta-analysis. Sexual Health 2022;19(5):391 View
  73. Loveys K, Antoni M, Donkin L, Sagar M, Broadbent E. Comparing the Feasibility and Acceptability of a Virtual Human, Teletherapy, and an e-Manual in Delivering a Stress Management Intervention to Distressed Adult Women: Pilot Study. JMIR Formative Research 2023;7:e42390 View
  74. Paige S, Wilczewski H, Casale T, Bunnell B. Using a computer-tailored COPD screening assessment to promote advice-seeking behaviors. World Allergy Organization Journal 2021;14(11):100603 View
  75. 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
  76. Shah J, DePietro B, D'Adamo L, Firebaugh M, Laing O, Fowler L, Smolar L, Sadeh‐Sharvit S, Taylor C, Wilfley D, Fitzsimmons‐Craft E. Development and usability testing of a chatbot to promote mental health services use among individuals with eating disorders following screening. International Journal of Eating Disorders 2022;55(9):1229 View
  77. Amiri P, Karahanna E. Chatbot use cases in the Covid-19 public health response. Journal of the American Medical Informatics Association 2022;29(5):1000 View
  78. Lee U, Jung G, Ma E, Kim J, Kim H, Alikhanov J, Noh Y, Kim H. Toward Data-Driven Digital Therapeutics Analytics: Literature Review and Research Directions. IEEE/CAA Journal of Automatica Sinica 2023;10(1):42 View
  79. Ma J, Cao N. An Analysis of the Interaction between Ancient Literature Informatization Project and Classical Literature Research Based on Intelligent Computing. Mathematical Problems in Engineering 2022;2022:1 View
  80. Smrke U, Plohl N, Mlakar I. Aging Adults’ Motivation to Use Embodied Conversational Agents in Instrumental Activities of Daily Living: Results of Latent Profile Analysis. International Journal of Environmental Research and Public Health 2022;19(4):2373 View
  81. 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
  82. Ollier J, Nißen M, von Wangenheim F. The Terms of “You(s)”: How the Term of Address Used by Conversational Agents Influences User Evaluations in French and German Linguaculture. Frontiers in Public Health 2022;9 View
  83. Dhinagaran D, Martinengo L, Ho M, Joty S, Kowatsch T, Atun R, Tudor Car L. Designing, Developing, Evaluating, and Implementing a Smartphone-Delivered, Rule-Based Conversational Agent (DISCOVER): Development of a Conceptual Framework. JMIR mHealth and uHealth 2022;10(10):e38740 View
  84. 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
  85. Gerontas A, Zeginis D, Promikyridis R, Androš M, Tambouris E, Cipan V, Tarabanis K. Enhancing Core Public Service Vocabulary to Enable Public Service Personalization. Information 2022;13(5):225 View
  86. Hassani M, Young S. Potential Role of Conversational Agents in Encouraging PrEP Uptake. The Journal of Behavioral Health Services & Research 2022 View
  87. Chua I, Ritchie C, Bates D. Enhancing serious illness communication using artificial intelligence. npj Digital Medicine 2022;5(1) View
  88. Rahmanti A, Yang H, Bintoro B, Nursetyo A, Muhtar M, Syed-Abdul S, Li Y. SlimMe, a Chatbot With Artificial Empathy for Personal Weight Management: System Design and Finding. Frontiers in Nutrition 2022;9 View
  89. Shorey S, Tan T, Thilagamangai , Mathews J, Yu C, Lim S, Shi L, Ng E, Chan Y, Law E, Chee C, Chong Y. Development of a Supportive Parenting App to Improve Parent and Infant Outcomes in the Perinatal Period: Development Study. Journal of Medical Internet Research 2021;23(12):e27033 View
  90. 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
  91. Tennant R, Allana S, Mercer K, Burns C. Caregiver Expectations of Interfacing With Voice Assistants to Support Complex Home Care: Mixed Methods Study. JMIR Human Factors 2022;9(2):e37688 View
  92. Chew H. The Use of Artificial Intelligence–Based Conversational Agents (Chatbots) for Weight Loss: Scoping Review and Practical Recommendations. JMIR Medical Informatics 2022;10(4):e32578 View
  93. Bassi G, Donadello I, Gabrielli S, Salcuni S, Giuliano C, Forti S. Early Development of a Virtual Coach for Healthy Coping Interventions in Type 2 Diabetes Mellitus: Validation Study. JMIR Formative Research 2022;6(2):e27500 View
  94. Dingler T, Kwasnicka D, Wei J, Gong E, Oldenburg B. The Use and Promise of Conversational Agents in Digital Health. Yearbook of Medical Informatics 2021;30(01):191 View
  95. Yang L, Ng W, Lei X, Tan S, Wang Z, Yan M, Pargi M, Zhang X, Lim J, Gunasekeran D, Tan F, Lee C, Yeo K, Tan H, Ho H, Tan B, Wong T, Kwek K, Goh R, Liu Y, Ting D. Development and testing of a multi-lingual Natural Language Processing-based deep learning system in 10 languages for COVID-19 pandemic crisis: A multi-center study. Frontiers in Public Health 2023;11 View
  96. Rose-Davis B, Van Woensel W, Raza Abidi S, Stringer E, Sibte Raza Abidi S. Semantic knowledge modeling and evaluation of argument Theory to develop dialogue based patient education systems for chronic disease Self-Management. International Journal of Medical Informatics 2022;160:104693 View
  97. Dwyer T, Hoit G, Burns D, Higgins J, Chang J, Whelan D, Kiroplis I, Chahal J. Use of an Artificial Intelligence Conversational Agent (Chatbot) for Hip Arthroscopy Patients Following Surgery. Arthroscopy, Sports Medicine, and Rehabilitation 2023;5(2):e495 View
  98. Wilczewski H, Soni H, Ivanova J, Ong T, Barrera J, Bunnell B, Welch B. Older adults' experience with virtual conversational agents for health data collection. Frontiers in Digital Health 2023;5 View
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  104. Liu Y, Mayfield R, Huang Y. Discovering the Hidden Facts of User-Dispatcher Interactions via Text-based Reporting Systems for Community Safety. Proceedings of the ACM on Human-Computer Interaction 2023;7(CSCW1):1 View
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Books/Policy Documents

  1. Gamberini L, Pluchino P, Porto L, Zordan F, Monterosso A, Palanivel K, Fontanari A. HCI International 2021 - Posters. View
  2. Liu C, Zhang B, Peng G. Distributed, Ambient and Pervasive Interactions. View
  3. Davids J, Ashrafian H. Artificial Intelligence in Medicine. View
  4. Galitsky B. Artificial Intelligence for Healthcare Applications and Management. View
  5. Gupta J, Raychaudhuri N, Lee M. Machine Learning and Autonomous Systems. View
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