Published on in Vol 21, No 11 (2019): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/15360, first published .
The Personalization of Conversational Agents in Health Care: Systematic Review

The Personalization of Conversational Agents in Health Care: Systematic Review

The Personalization of Conversational Agents in Health Care: Systematic Review

Journals

  1. Tudor Car L, Dhinagaran D, Kyaw B, Kowatsch T, Joty S, Theng Y, Atun R. Conversational Agents in Health Care: Scoping Review and Conceptual Analysis. Journal of Medical Internet Research 2020;22(8):e17158 View
  2. Hauser-Ulrich S, Künzli H, Meier-Peterhans D, Kowatsch T. A Smartphone-Based Health Care Chatbot to Promote Self-Management of Chronic Pain (SELMA): Pilot Randomized Controlled Trial. JMIR mHealth and uHealth 2020;8(4):e15806 View
  3. Schachner T, Keller R, v Wangenheim F. Artificial Intelligence-Based Conversational Agents for Chronic Conditions: Systematic Literature Review. Journal of Medical Internet Research 2020;22(9):e20701 View
  4. de Cock C, Milne-Ives M, van Velthoven M, Alturkistani A, Lam C, Meinert E. Effectiveness of Conversational Agents (Virtual Assistants) in Health Care: Protocol for a Systematic Review. JMIR Research Protocols 2020;9(3):e16934 View
  5. Or C, Liu K, So M, Cheung B, Yam L, Tiwari A, Lau Y, Lau T, Hui P, Cheng H, Tan J, Cheung M. Improving Self-Care in Patients With Coexisting Type 2 Diabetes and Hypertension by Technological Surrogate Nursing: Randomized Controlled Trial. Journal of Medical Internet Research 2020;22(3):e16769 View
  6. Chattopadhyay D, Ma T, Sharifi H, Martyn-Nemeth P. Computer-Controlled Virtual Humans in Patient-Facing Systems: Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2020;22(7):e18839 View
  7. Korhonen O, Väyrynen K, Krautwald T, Bilby G, Broers H, Giunti G, Isomursu M. Data-Driven Personalization of a Physiotherapy Care Pathway: Case Study of Posture Scanning. JMIR Rehabilitation and Assistive Technologies 2020;7(2):e18508 View
  8. Spiliotopoulos D, Makri E, Vassilakis C, Margaris D. Multimodal Interaction: Correlates of Learners’ Metacognitive Skill Training Negotiation Experience. Information 2020;11(8):381 View
  9. Issom D, Hardy-Dessources M, Romana M, Hartvigsen G, Lovis C. Toward a Conversational Agent to Support the Self-Management of Adults and Young Adults With Sickle Cell Disease: Usability and Usefulness Study. Frontiers in Digital Health 2021;3 View
  10. Milne-Ives M, de Cock C, Lim E, Shehadeh M, de Pennington N, Mole G, Normando E, Meinert E. The Effectiveness of Artificial Intelligence Conversational Agents in Health Care: Systematic Review. Journal of Medical Internet Research 2020;22(10):e20346 View
  11. Abd-Alrazaq A, Alajlani M, Ali N, Denecke K, Bewick B, Househ M. Perceptions and Opinions of Patients About Mental Health Chatbots: Scoping Review. Journal of Medical Internet Research 2021;23(1):e17828 View
  12. 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
  13. Morse K, Ostberg N, Jones V, Chan A. Use Characteristics and Triage Acuity of a Digital Symptom Checker in a Large Integrated Health System: Population-Based Descriptive Study. Journal of Medical Internet Research 2020;22(11):e20549 View
  14. 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
  15. 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
  16. 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
  17. Mitchell E, Maimone R, Cassells A, Tobin J, Davidson P, Smaldone A, Mamykina L. Automated vs. Human Health Coaching. Proceedings of the ACM on Human-Computer Interaction 2021;5(CSCW1):1 View
  18. Tong H, Quiroz J, Kocaballi A, Fat S, Dao K, Gehringer H, Chow C, Laranjo L. Personalized mobile technologies for lifestyle behavior change: A systematic review, meta-analysis, and meta-regression. Preventive Medicine 2021;148:106532 View
  19. Wang G, Albayrak A, Kortuem G, van der Cammen T. A Digital Platform for Facilitating Personalized Dementia Care in Nursing Homes: Formative Evaluation Study. JMIR Formative Research 2021;5(5):e25705 View
  20. Rampioni M, Moșoi A, Rossi L, Moraru S, Rosenberg D, Stara V. A Qualitative Study toward Technologies for Active and Healthy Aging: A Thematic Analysis of Perspectives among Primary, Secondary, and Tertiary End Users. International Journal of Environmental Research and Public Health 2021;18(14):7489 View
  21. 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
  22. 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
  23. Hutmacher F, Appel M. The Psychology of Personalization in Digital Environments: From Motivation to Well-Being – A Theoretical Integration. Review of General Psychology 2023;27(1):26 View
  24. 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
  25. He Y, Yang L, Zhu X, Wu B, Zhang S, Qian C, Tian T. Mental Health Chatbot for Young Adults With Depressive Symptoms During the COVID-19 Pandemic: Single-Blind, Three-Arm Randomized Controlled Trial. Journal of Medical Internet Research 2022;24(11):e40719 View
  26. Denecke K, Abd-Alrazaq A, Househ M, Warren J. Evaluation Metrics for Health Chatbots: A Delphi Study. Methods of Information in Medicine 2021;60(05/06):171 View
  27. 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
  28. Ma Q, Zhang Y, Xu W, Zhou R. Ask a Further Question or Give a List? How Should Conversational Agents Reply to Users’ Uncertain Queries. International Journal of Human–Computer Interaction 2024;40(5):1087 View
  29. 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
  30. Chavez-Yenter D, Kimball K, Kohlmann W, Lorenz Chambers R, Bradshaw R, Espinel W, Flynn M, Gammon A, Goldberg E, Hagerty K, Hess R, Kessler C, Monahan R, Temares D, Tobik K, Mann D, Kawamoto K, Del Fiol G, Buys S, Ginsburg O, Kaphingst K. Patient Interactions With an Automated Conversational Agent Delivering Pretest Genetics Education: Descriptive Study. Journal of Medical Internet Research 2021;23(11):e29447 View
  31. Shan Y, Ji M, Xie W, Zhang X, Qian X, Li R, Hao T. Use of Health Care Chatbots Among Young People in China During the Omicron Wave of COVID-19: Evaluation of the User Experience of and Satisfaction With the Technology. JMIR Human Factors 2022;9(2):e36831 View
  32. Singh E, Bompelli A, Wan R, Bian J, Pakhomov S, Zhang R. A conversational agent system for dietary supplements use. BMC Medical Informatics and Decision Making 2022;22(S1) View
  33. Ben-Shabat N, Sharvit G, Meimis B, Ben Joya D, Sloma A, Kiderman D, Shabat A, Tsur A, Watad A, Amital H. Assessing data gathering of chatbot based symptom checkers - a clinical vignettes study. International Journal of Medical Informatics 2022;168:104897 View
  34. Nelekar S, Abdulrahman A, Gupta M, Richards D. Effectiveness of embodied conversational agents for managing academic stress at an Indian University (ARU) during COVID‐19. British Journal of Educational Technology 2022;53(3):491 View
  35. 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
  36. 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
  37. 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
  38. Green E, Pradheep S, Heinzelman J, Nyanchoka A, Achieng D, Goyal S, Cusson L, Kurz A, Bellows B. Predicting healthcare-seeking behavior based on stated readiness to act: development and validation of a prediction model. Translational Behavioral Medicine 2022;12(1) View
  39. Figueroa C, Luo T, Jacobo A, Munoz A, Manuel M, Chan D, Canny J, Aguilera A. Conversational Physical Activity Coaches for Spanish and English Speaking Women: A User Design Study. Frontiers in Digital Health 2021;3 View
  40. Santini S, Fabbietti P, Galassi F, Merizzi A, Kropf J, Hungerländer N, Stara V. The Impact of Digital Coaching Intervention for Improving Healthy Ageing Dimensions among Older Adults during Their Transition from Work to Retirement. International Journal of Environmental Research and Public Health 2023;20(5):4034 View
  41. 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
  42. Santini S, Stara V, Galassi F, Merizzi A, Schneider C, Schwammer S, Stolte E, Kropf J. User Requirements Analysis of an Embodied Conversational Agent for Coaching Older Adults to Choose Active and Healthy Ageing Behaviors during the Transition to Retirement: A Cross-National User Centered Design Study. International Journal of Environmental Research and Public Health 2021;18(18):9681 View
  43. Irfan B, Hellou M, Belpaeme T. Coffee With a Hint of Data: Towards Using Data-Driven Approaches in Personalised Long-Term Interactions. Frontiers in Robotics and AI 2021;8 View
  44. Ahmad R, Siemon D, Gnewuch U, Robra-Bissantz S. Designing Personality-Adaptive Conversational Agents for Mental Health Care. Information Systems Frontiers 2022;24(3):923 View
  45. 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
  46. Loveys K, Sagar M, Pickering I, Broadbent E. A Digital Human for Delivering a Remote Loneliness and Stress Intervention to At-Risk Younger and Older Adults During the COVID-19 Pandemic: Randomized Pilot Trial. JMIR Mental Health 2021;8(11):e31586 View
  47. Mah K, Loke L, Hespanhol L. Towards a Contemplative Research Framework for Training Self-Observation in HCI: A Study of Compassion Cultivation. ACM Transactions on Computer-Human Interaction 2021;28(6):1 View
  48. Maharjan R, Doherty K, Rohani D, Bækgaard P, Bardram J. What's Up With These Conversational Health Agents? From Users' Critiques to Implications for Design. Frontiers in Digital Health 2022;4 View
  49. To Q, Green C, Vandelanotte C. Feasibility, Usability, and Effectiveness of a Machine Learning–Based Physical Activity Chatbot: Quasi-Experimental Study. JMIR mHealth and uHealth 2021;9(11):e28577 View
  50. Zhu Y, Janssen M, Wang R, Liu Y. It Is Me, Chatbot: Working to Address the COVID-19 Outbreak-Related Mental Health Issues in China. User Experience, Satisfaction, and Influencing Factors. International Journal of Human–Computer Interaction 2022;38(12):1182 View
  51. Liu Y, Yan W, Hu B, Li Z, Lai Y. Effects of personalization and source expertise on users’ health beliefs and usage intention toward health chatbots: Evidence from an online experiment. DIGITAL HEALTH 2022;8:205520762211297 View
  52. Yeung A, Kulnik S, Parvanov E, Fassl A, Eibensteiner F, Völkl-Kernstock S, Kletecka-Pulker M, Crutzen R, Gutenberg J, Höppchen I, Niebauer J, Smeddinck J, Willschke H, Atanasov A. Research on Digital Technology Use in Cardiology: Bibliometric Analysis. Journal of Medical Internet Research 2022;24(5):e36086 View
  53. Maharjan R, Doherty K, Rohani D, Bækgaard P, Bardram J. Experiences of a Speech-enabled Conversational Agent for the Self-report of Well-being among People Living with Affective Disorders: An In-the-Wild Study. ACM Transactions on Interactive Intelligent Systems 2022;12(2):1 View
  54. Maenhout L, Peuters C, Cardon G, Compernolle S, Crombez G, DeSmet A. Participatory Development and Pilot Testing of an Adolescent Health Promotion Chatbot. Frontiers in Public Health 2021;9 View
  55. Berkovsky S, Coiera E. Health personalisation. ACM SIGWEB Newsletter 2021;2021(Summer):1 View
  56. Motger Q, Franch X, Marco J. Software-Based Dialogue Systems: Survey, Taxonomy, and Challenges. ACM Computing Surveys 2023;55(5):1 View
  57. Zhu Y, Wang R, Pu C. “I am chatbot, your virtual mental health adviser.” What drives citizens’ satisfaction and continuance intention toward mental health chatbots during the COVID-19 pandemic? An empirical study in China. DIGITAL HEALTH 2022;8:205520762210900 View
  58. Mckie I, Narayan B, Kocaballi B. Conversational Voice Assistants and a Case Study of Long-Term Users: A Human Information Behaviours Perspective. Journal of the Australian Library and Information Association 2022;71(3):233 View
  59. 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
  60. Wei J, Dingler T, Kostakos V. Understanding User Perceptions of Proactive Smart Speakers. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2021;5(4):1 View
  61. Iovine A, Narducci F, Musto C, de Gemmis M, Semeraro G. Virtual Customer Assistants in finance: From state of the art and practices to design guidelines. Computer Science Review 2023;47:100534 View
  62. 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
  63. Schillings C, Meissner D, Erb B, Schultchen D, Bendig E, Pollatos O. A chatbot-based intervention with ELME to improve stress and health-related parameters in a stressed sample: Study protocol of a randomised controlled trial. Frontiers in Digital Health 2023;5 View
  64. 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
  65. Liu N, Pu Q, Shi Y, Zhang S, Qiu L. Older Adults’ Interaction With Intelligent Virtual Assistants: The Role of Information Modality and Feedback. International Journal of Human–Computer Interaction 2023;39(5):1162 View
  66. Weeks R, Sangha P, Cooper L, Sedoc J, White S, Gretz S, Toledo A, Lahav D, Hartner A, Martin N, Lee J, Slonim N, Bar-Zeev N. Usability and Credibility of a COVID-19 Vaccine Chatbot for Young Adults and Health Workers in the United States: Formative Mixed Methods Study. JMIR Human Factors 2023;10:e40533 View
  67. Reilly E, Kathawalla U, Robins H, Heapy A, Hogan T, Waring M, Quigley K, Drebing C, Bickmore T, Volonte M, Kelly M. An Online Acceptance and Mindfulness Intervention for Chronic Pain in Veterans: Development and Protocol for a Pilot Feasibility Randomized Controlled Trial. JMIR Research Protocols 2023;12:e45887 View
  68. He Y, Yang L, Qian C, Li T, Su Z, Zhang Q, Hou X. Conversational Agent Interventions for Mental Health Problems: Systematic Review and Meta-analysis of Randomized Controlled Trials. Journal of Medical Internet Research 2023;25:e43862 View
  69. Weber P, Mahmood F, Ahmadi M, von Jan V, Ludwig T, Wieching R. Fridolin: participatory design and evaluation of a nutrition chatbot for older adults. i-com 2023;22(1):33 View
  70. Jabir A, Martinengo L, Lin X, Torous J, Subramaniam M, Tudor Car L. Evaluating Conversational Agents for Mental Health: Scoping Review of Outcomes and Outcome Measurement Instruments. Journal of Medical Internet Research 2023;25:e44548 View
  71. Ben-Shabat N, Sharvit G, Meimis B, Ben Joya D, Sloma A, Kiderman D, Shabat A, Tsur A, Watad A, Amital H. Assessing Data Gathering Quality of Chatbot Based Symptom Checkers - a Clinical Vignettes Study. SSRN Electronic Journal 2022 View
  72. Sulis E, Mariani S, Montagna S. A survey on agents applications in healthcare: Opportunities, challenges and trends. Computer Methods and Programs in Biomedicine 2023;236:107525 View
  73. Han H, Mendu S, Jaworski B, Owen J, Abdullah S. Preliminary Evaluation of a Conversational Agent to Support Self-management of Individuals Living With Posttraumatic Stress Disorder: Interview Study With Clinical Experts. JMIR Formative Research 2023;7:e45894 View
  74. Noh E, Won J, Jo S, Hahm D, Lee H. Conversational Agents for Body Weight Management: Systematic Review. Journal of Medical Internet Research 2023;25:e42238 View
  75. Oyesanya T, Ibemere S, Loflin C, McReynolds V, Anaya B, Huang M, Gonzalez-Guarda R, Strauman T, Prvu Bettger J. “If you respect me, you are respecting my culture”: methods and recommendations for personalizing a TBI transitional care intervention. Brain Injury 2023;37(8):746 View
  76. Singh A, Schooley B, Patel N. Effects of User-Reported Risk Factors and Follow-Up Care Activities on Satisfaction With a COVID-19 Chatbot: Cross-Sectional Study. JMIR mHealth and uHealth 2023;11:e43105 View
  77. Allen J, Earp B, Koplin J, Wilkinson D. Consent-GPT: is it ethical to delegate procedural consent to conversational AI?. Journal of Medical Ethics 2024;50(2):77 View
  78. Mancone S, Diotaiuti P, Valente G, Corrado S, Bellizzi F, Vilarino G, Andrade A. The Use of Voice Assistant for Psychological Assessment Elicits Empathy and Engagement While Maintaining Good Psychometric Properties. Behavioral Sciences 2023;13(7):550 View
  79. Hopman K, Richards D, Norberg M. A Digital Coach to Promote Emotion Regulation Skills. Multimodal Technologies and Interaction 2023;7(6):57 View
  80. Otero-González I, Pacheco-Lorenzo M, Fernández-Iglesias M, Anido-Rifón L. Conversational agents for depression screening: A systematic review. International Journal of Medical Informatics 2024;181:105272 View
  81. Richards D, Miranda Maciel P, Janssen H. The Co-Design of an Embodied Conversational Agent to Help Stroke Survivors Manage Their Recovery. Robotics 2023;12(5):120 View
  82. Zhang Y, Tan W, Lee E. Consumers' responses to personalized service from medical artificial intelligence and human doctors. Psychology & Marketing 2024;41(1):118 View
  83. Moore R, Vernon T, Gregory M, Freeman E. Facilitators and barriers to physical activity among English adolescents in secondary schools: a mixed method study. Frontiers in Public Health 2023;11 View
  84. . ChatGPT in pharmacy practice: a cross-sectional exploration of Jordanian pharmacists' perception, practice, and concerns. Journal of Pharmaceutical Policy and Practice 2023;16(1) View
  85. Kuoppamäki S, Jaberibraheem R, Hellstrand M, McMillan D. Designing Multi-Modal Conversational Agents for the Kitchen with Older Adults: A Participatory Design Study. International Journal of Social Robotics 2023;15(9-10):1507 View
  86. Blümel J, Zaki M, Bohné T. Personal touch in digital customer service: a conceptual framework of relational personalization for conversational AI. Journal of Service Theory and Practice 2024;34(1):33 View
  87. Loveys K, Sagar M, Antoni M, Broadbent E. The Impact of Virtual Humans on Psychosomatic Medicine. Psychosomatic Medicine 2023;85(7):619 View
  88. Allen J, Earp B, Koplin J, Wilkinson D. Consent GPT: Is It Ethical to Delegate Procedural Consent to Conversational AI?. SSRN Electronic Journal 2023 View
  89. Stara V, Soraci L, Takano E, Kondo I, Möller J, Maranesi E, Luzi R, Riccardi G, Browne R, Dacunha S, Palmier C, Wieching R, Ogawa T, Bevilacqua R. Intrinsic Capacity and Active and Healthy Aging Domains Supported by Personalized Digital Coaching: Survey Study Among Geriatricians in Europe and Japan on eHealth Opportunities for Older Adults. Journal of Medical Internet Research 2023;25:e41035 View
  90. Savage S, LoTempio J, Smith E, Andrew E, Mas G, Kahn-Kirby A, Délot E, Cohen A, Pitsava G, Nussbaum R, Fusaro V, Berger S, Vilain E. Using a chat-based informed consent tool in large-scale genomic research. Journal of the American Medical Informatics Association 2024;31(2):472 View
  91. Araujo T, Bol N. From speaking like a person to being personal: The effects of personalized, regular interactions with conversational agents. Computers in Human Behavior: Artificial Humans 2024;2(1):100030 View
  92. Xue J, Zhang B, Zhao Y, Zhang Q, Zheng C, Jiang J, Li H, Liu N, Li Z, Fu W, Peng Y, Logan J, Zhang J, Xiang X. Evaluation of the Current State of Chatbots for Digital Health: Scoping Review. Journal of Medical Internet Research 2023;25:e47217 View
  93. 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
  94. Yılmaz İ, Doğan L. Talking technology: exploring chatbots as a tool for cataract patient education. Clinical and Experimental Optometry 2024:1 View
  95. Jahan E, Almansour R, Ijaz K, Baptista S, Giordan L, Ronto R, Zaman S, O'Hagan E, Laranjo L. Smartphone Applications to Prevent Type 2 Diabetes: A Systematic Review and Meta-Analysis. American Journal of Preventive Medicine 2024;66(6):1060 View
  96. Del Fiol G, Orleans B, Kuzmenko T, Chipman J, Greene T, Martinez A, Wirth J, Meads R, Kaphingst K, Gibson B, Kawamoto K, King A, Siaperas T, Hughes S, Pruhs A, Pariera Dinkins C, Lam C, Pierce J, Benson R, Borsato E, Cornia R, Stevens L, Bradshaw R, Schlechter C, Wetter D. SCALE-UP II: protocol for a pragmatic randomised trial examining population health management interventions to increase the uptake of at-home COVID-19 testing in community health centres. BMJ Open 2024;14(3):e081455 View
  97. Ren L, Yan J, Zhu Z, Du M. Personalization Characteristics and Evaluation of Gamified Exercise for Middle-Aged and Older People: A Scoping Review. Journal of Aging and Physical Activity 2024;32(2):287 View
  98. Hegde N, Vardhan M, Nathani D, Rosenzweig E, Speed C, Karthikesalingam A, Seneviratne M, Grosan C. Infusing behavior science into large language models for activity coaching. PLOS Digital Health 2024;3(4):e0000431 View
  99. 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
  100. Bucher A, Blazek E, Symons C. How are Machine Learning and Artificial Intelligence Used in Digital Behavior Change Interventions? A Scoping Review. Mayo Clinic Proceedings: Digital Health 2024;2(3):375 View
  101. Graf L, Sykownik P, Gradl-Dietsch G, Masuch M. Towards believable and educational conversations with virtual patients. Frontiers in Virtual Reality 2024;5 View
  102. Sezgin E, Kocaballi A, Dolce M, Skeens M, Militello L, Huang Y, Stevens J, Kemper A. Chatbot for Social Need Screening and Resource Sharing With Vulnerable Families: Iterative Design and Evaluation Study. JMIR Human Factors 2024;11:e57114 View
  103. Cao X, Cui C, Zhou B, Wang D, Chen X, Liu H, Zhang H, Bai X. The Influence of Response Time and Feedback Type on the User Experience of Voice Interaction among Older Adults. International Journal of Human–Computer Interaction 2024:1 View
  104. Coppens I, De Pessemier T, Martens L. Exploring the added effect of three recommender system techniques in mobile health interventions for physical activity: a longitudinal randomized controlled trial. User Modeling and User-Adapted Interaction 2024 View
  105. Agiollo A, Siebert L, Murukannaiah P, Omicini A. From large language models to small logic programs: building global explanations from disagreeing local post-hoc explainers. Autonomous Agents and Multi-Agent Systems 2024;38(2) View
  106. Laymouna M, Ma Y, Lessard D, Engler K, Therrien R, Schuster T, Vicente S, Achiche S, El Haj M, Lemire B, Kawaiah A, Lebouché B. Needs-Assessment for an Artificial Intelligence-Based Chatbot for Pharmacists in HIV Care: Results from a Knowledge–Attitudes–Practices Survey. Healthcare 2024;12(16):1661 View
  107. Cotter L, Shah D, Brown K, Mares M, Landucci G, Saunders S, Johnston D, Pe-Romashko K, Gustafson D, Maus A, Thompson K, Gustafson D. Decoding the Influence of eHealth on Autonomy, Competence, and Relatedness in Older Adults: Qualitative Analysis of Self-Determination Through the Motivational Technology Model. JMIR Aging 2024;7:e56923 View
  108. Xing Y, Yang K, Lu A, Mackie K, Guo F. Sensors and Devices Guided by Artificial Intelligence for Personalized Pain Medicine. Cyborg and Bionic Systems 2024;5 View
  109. Vandelanotte C, Hodgetts D, Peris D, Karki A, Maher C, Imam T, Rashid M, To Q, Trost S. Perceptions and expectations of an artificially intelligent physical activity digital assistant — A focus group study. Applied Psychology: Health and Well-Being 2024;16(4):2362 View
  110. Kim S, Swanson V, Collier G, Rabinowitz A, Zondervan D, Reinkensmeyer D. Using Large-Scale Sensor Data to Test Factors Predictive of Perseverance in Home Movement Rehabilitation: Early Exercise Frequency and Schedule Consistency. IEEE Transactions on Neural Systems and Rehabilitation Engineering 2024;32:3251 View
  111. Plotkina L, Sri Ramalu S. Unearthing AI coaching chatbots capabilities for professional coaching: a systematic literature review. Journal of Management Development 2024 View
  112. Jairoun A, Al-Hemyari S, Shahwan M, Alnuaimi G, Ibrahim N, Jaber A. Capturing pharmacists’ perspectives on the value, risks, and applications of ChatGPT in pharmacy practice: A qualitative study. Exploratory Research in Clinical and Social Pharmacy 2024;16:100518 View
  113. Nguyen M, Sedoc J, Taylor C. Usability, Engagement, and Report Usefulness of Chatbot-Based Family Health History Data Collection: Mixed Methods Analysis. Journal of Medical Internet Research 2024;26:e55164 View
  114. Nakata T, Nakamura M, Chen S, Saiki S. Needs Companion: A Novel Approach to Continuous User Needs Sensing Using Virtual Agents and Large Language Models. Sensors 2024;24(21):6814 View
  115. 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
  116. Xie C, Xie Y, Wang Y, Zhou P, Lu L, Feng Y, Liang C. Understanding older adults’ continued-use intention of AI voice assistants. Universal Access in the Information Society 2024 View
  117. Kang B, Hong M. Development and Evaluation of a Mental Health Chatbot Using ChatGPT 4.0: Pilot Study of Dr. CareSam with Korean Users (Preprint). JMIR Medical Informatics 2024 View

Books/Policy Documents

  1. Mason-Robbie V. Postdigital Humans. View
  2. Luperto M, Basilico N, Vuono A, Cid M, Cesari M, Ferrante S, Borghese N. AIxIA 2020 – Advances in Artificial Intelligence. View
  3. Gamberini L, Pluchino P, Porto L, Zordan F, Monterosso A, Palanivel K, Fontanari A. HCI International 2021 - Posters. View
  4. Denecke K, Abd-Alrazaq A, Househ M. Multiple Perspectives on Artificial Intelligence in Healthcare. View
  5. Kuhlmeier F, Gnewuch U, Lüttke S, Brakemeier E, Mädche A. The Transdisciplinary Reach of Design Science Research. View
  6. Aneke J, Ardito C, Desolda G. Human-Computer Interaction – INTERACT 2021. View
  7. El rhatassi F, El Ghali B, Daoudi N. Proceedings of the 6th International Conference on Big Data and Internet of Things. View
  8. Del Fiol G. Clinical Decision Support and Beyond. View
  9. Nakata T, Chen S, Saiki S, Nakamura M. Human Interface and the Management of Information. View
  10. Oh Y, Arias K, Auster-Gussman L, Graham S. Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. View
  11. Cocchi A, Bosse T, van Pinxteren M. Chatbot Research and Design. View
  12. Asadi A, Prabhakar A. Proceedings of the Future Technologies Conference (FTC) 2024, Volume 3. View