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Citing this Article

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Published on 04.01.16 in Vol 18, No 1 (2016): January

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

Works citing "Improving Access to Online Health Information With Conversational Agents: A Randomized Controlled Experiment"

Timothy W Bickmore, Dina Utami, Robin Matsuyama, Michael K Paasche-Orlow

J Med Internet Res 2016 (Jan 04); 18(1):e1 

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.5239):

(note that this is only a small subset of citations)

  1. Martínez-Miranda J, Martínez A, Ramos R, Aguilar H, Jiménez L, Arias H, Rosales G, Valencia E. Assessment of users’ acceptability of a mobile-based embodied conversational agent for the prevention and detection of suicidal behaviour. Journal of Medical Systems 2019;43(8)
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  2. Hors-Fraile S, Schneider F, Fernandez-Luque L, Luna-Perejon F, Civit A, Spachos D, Bamidis P, de Vries H. Tailoring motivational health messages for smoking cessation using an mHealth recommender system integrated with an electronic health record: a study protocol. BMC Public Health 2018;18(1)
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  3. Pang PC, Chang S, Verspoor K, Pearce J. Designing Health Websites Based on Users’ Web-Based Information-Seeking Behaviors: A Mixed-Method Observational Study. Journal of Medical Internet Research 2016;18(6):e145
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  12. Rizzo A, Shilling R. Clinical Virtual Reality tools to advance the prevention, assessment, and treatment of PTSD. European Journal of Psychotraumatology 2017;8(sup5)
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  13. Bickmore TW, Trinh H, Olafsson S, O'Leary TK, Asadi R, Rickles NM, Cruz R. Patient and Consumer Safety Risks When Using Conversational Assistants for Medical Information: An Observational Study of Siri, Alexa, and Google Assistant. Journal of Medical Internet Research 2018;20(9):e11510
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  14. Park S, Choi J, Lee S, Oh C, Kim C, La S, Lee J, Suh B. Designing a Chatbot for a Brief Motivational Interview on Stress Management: Qualitative Case Study. Journal of Medical Internet Research 2019;21(4):e12231
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  20. Magnani JW, Schlusser CL, Kimani E, Rollman BL, Paasche-Orlow MK, Bickmore TW. The Atrial Fibrillation Health Literacy Information Technology System: Pilot Assessment. JMIR Cardio 2017;1(2):e7
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  21. . Embodied Conversational Agents for the Detection and Prevention of Suicidal Behaviour: Current Applications and Open Challenges. Journal of Medical Systems 2017;41(9)
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  22. Zhang Z, Bickmore TW, Paasche-Orlow MK. Perceived organizational affiliation and its effects on patient trust: Role modeling with embodied conversational agents. Patient Education and Counseling 2017;100(9):1730
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  23. Rodriguez-Gil L, Garcia-Zubia J, Orduna P, Villar-Martinez A, Lopez-De-Ipina D. New Approach for Conversational Agent Definition by Non-Programmers: A Visual Domain-Specific Language. IEEE Access 2019;7:5262
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  27. Khalaila R, Vitman-Schorr A. Internet use, social networks, loneliness, and quality of life among adults aged 50 and older: mediating and moderating effects. Quality of Life Research 2018;27(2):479
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  28. Sander L, Kuhn C, Bengel J, Krämer LV. Antwortverhalten von deutschsprachigen Sprachassistenten auf Gesundheitsfragen. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz 2019;62(8):970
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  29. Arsenijevic J, Tummers L, Bosma N. Adherence to Electronic Health Tools Among Vulnerable Groups: Systematic Literature Review and Meta-Analysis. Journal of Medical Internet Research 2020;22(2):e11613
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  30. 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
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  31. Huhta A, Hirvonen N, Huotari M. Health Literacy in Web-Based Health Information Environments: Systematic Review of Concepts, Definitions, and Operationalization for Measurement. Journal of Medical Internet Research 2018;20(12):e10273
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  32. Guhl E, Althouse AD, Pusateri AM, Kimani E, Paasche-Orlow MK, Bickmore TW, Magnani JW. The Atrial Fibrillation Health Literacy Information Technology Trial: Pilot Trial of a Mobile Health App for Atrial Fibrillation. JMIR Cardio 2020;4(1):e17162
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  33. Bickmore T, Zhang Z, Reichert M, Julce C, Jack B. Promotion of Preconception Care Among Adolescents and Young Adults by Conversational Agent. Journal of Adolescent Health 2020;67(2):S45
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  34. Navarra AD, Gwadz MV, Whittemore R, Bakken SR, Cleland CM, Burleson W, Jacobs SK, Melkus GD. Health Technology-Enabled Interventions for Adherence Support and Retention in Care Among US HIV-Infected Adolescents and Young Adults: An Integrative Review. AIDS and Behavior 2017;21(11):3154
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  35. Safi Z, Abd-Alrazaq A, Khalifa M, Househ M. Technical Aspects of Developing Chatbots for Medical Applications: Scoping Review. Journal of Medical Internet Research 2020;22(12):e19127
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  36. Hartholt A, Fast E, Reilly A, Whitcup W, Liewer M, Mozgai S. Multi-Platform Expansion of the Virtual Human Toolkit: Ubiquitous Conversational Agents. International Journal of Semantic Computing 2020;14(03):315
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  37. Beinema T, op den Akker H, van Velsen L, Hermens H. Tailoring coaching strategies to users’ motivation in a multi-agent health coaching application. Computers in Human Behavior 2021;121:106787
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  38. Mirbabaie M, Stieglitz S, Frick NRJ. Hybrid intelligence in hospitals: towards a research agenda for collaboration. Electronic Markets 2021;31(2):365
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  39. Miao F, Kozlenkova IV, Wang H, Xie T, Palmatier RW. An Emerging Theory of Avatar Marketing. Journal of Marketing 2022;86(1):67
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  40. Magnani JW, Ferry D, Swabe G, Martin D, Chen X, Brooks MM, El Khoudary SR. Rurality and atrial fibrillation: A pathway to virtual engagement and clinical trial recruitment in response to COVID-19. American Heart Journal Plus: Cardiology Research and Practice 2021;3:100017
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  41. Kim S, Choudhury A. Exploring older adults’ perception and use of smart speaker-based voice assistants: A longitudinal study. Computers in Human Behavior 2021;124:106914
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  42. Su Z, Schneider JA, Young SD. The Role of Conversational Agents for Substance Use Disorder in Social Distancing Contexts. Substance Use & Misuse 2021;56(11):1732
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  43. Iacobelli F, Dragon G, Mazur G, Guitelman J. Web-Based Information Seeking Behaviors of Low-Literacy Hispanic Survivors of Breast Cancer: Observational Pilot Study. JMIR Formative Research 2021;5(10):e22809
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  44. Schick A, Feine J, Morana S, Maedche A, Reininghaus U. Validity of Chatbot Use for Mental Health Assessment: Experimental Study. JMIR mHealth and uHealth 2022;10(10):e28082
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  45. Pretorius C, McCashin D, Coyle D. Supporting personal preferences and different levels of need in online help-seeking: a comparative study of help-seeking technologies for mental health. Human–Computer Interaction 2022;:1
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  46. Zimmermann BM, Willem T, Bredthauer CJ, Buyx A. Ethical Issues in Social Media Recruitment for Clinical Studies: Ethical Analysis and Framework. Journal of Medical Internet Research 2022;24(5):e31231
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  47. Yeung AWK, Kulnik ST, Parvanov ED, Fassl A, Eibensteiner F, Völkl-Kernstock S, Kletecka-Pulker M, Crutzen R, Gutenberg J, Höppchen I, Niebauer J, Smeddinck JD, Willschke H, Atanasov AG. Research on Digital Technology Use in Cardiology: Bibliometric Analysis. Journal of Medical Internet Research 2022;24(5):e36086
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  48. Bazrafshani A, Panahi S, Sharifi H, Merghati-Khoei E, Ahmed SI. The role of online social networks in improving health literacy and medication adherence among people living with HIV/AIDS in Iran: Development of a conceptual model. PLOS ONE 2022;17(6):e0261304
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  49. Mellers BA, Lu L, McCoy JP. Predicting the future with humans and AI. Consumer Psychology Review 2023;6(1):109
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  50. Motger Q, Franch X, Marco J. Software-Based Dialogue Systems: Survey, Taxonomy, and Challenges. ACM Computing Surveys 2023;55(5):1
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  51. Zhang Q, Guo X, Vogel D. Examining the health impact of elderly ICT use in China. Information Technology for Development 2022;28(3):451
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  52. Magnani JW, Ferry D, Swabe G, Martin D, Chen X, Brooks MM, Kimani E, Paasche-Orlow MK, Ólafsson S, Bickmore T, El Khoudary SR. Design and rationale of the mobile health intervention for rural atrial fibrillation. American Heart Journal 2022;252:16
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  53. Montenegro JLZ, da Costa CA. The HoPE Model Architecture: a Novel Approach to Pregnancy Information Retrieval Based on Conversational Agents. Journal of Healthcare Informatics Research 2022;6(3):253
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  54. Dowlagar S, Mamidi R. A code-mixed task-oriented dialog dataset for medical domain. Computer Speech & Language 2023;78:101449
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  55. Deepaisarn S, Imkome E, Wongpatikaseree K, Yuenyong S, Lakanavisid P, Soonthornchaiva R, Yomaboot P, Angkoonsawaengsuk A, Munpansa N. Validation of a Thai artificial chatmate designed for cheering up the elderly during the COVID-19 pandemic. F1000Research 2022;11:1411
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  56. Beinema T, op den Akker H, Hurmuz M, Jansen-Kosterink S, Hermens H. Automatic topic selection for long-term interaction with embodied conversational agents in health coaching: A micro-randomized trial. Internet Interventions 2022;27:100502
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  57. Koulouri T, Macredie RD, Olakitan D. Chatbots to Support Young Adults’ Mental Health: An Exploratory Study of Acceptability. ACM Transactions on Interactive Intelligent Systems 2022;12(2):1
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  58. Biro J, Linder C, Neyens D. The Effects of a Health Care Chatbot’s Complexity and Persona on User Trust, Perceived Usability, and Effectiveness: Mixed Methods Study. JMIR Human Factors 2023;10:e41017
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  59. Wang A, Qian Z, Briggs L, Cole AP, Reis LO, Trinh Q. The Use of Chatbots in Oncological Care: A Narrative Review. International Journal of General Medicine 2023;Volume 16:1591
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  60. Amjad A, Kordel P, Fernandes G. A Review on Innovation in Healthcare Sector (Telehealth) through Artificial Intelligence. Sustainability 2023;15(8):6655
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  61. Hsu P, Nguyen T, Wang C, Huang P. Chatbot commerce—How contextual factors affect Chatbot effectiveness. Electronic Markets 2023;33(1)
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  62. Loveys K, Sagar M, Antoni M, Broadbent E. The Impact of Virtual Humans on Psychosomatic Medicine. Psychosomatic Medicine 2023;85(7):619
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  63. Mills R, Mangone ER, Lesh N, Mohan D, Baraitser P. Chatbots to Improve Sexual and Reproductive Health: Realist Synthesis. Journal of Medical Internet Research 2023;25:e46761
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  64. Klein U, Depping J, Wohlfahrt L, Fassbender P. Application of artificial intelligence: risk perception and trust in the work context with different impact levels and task types. AI & SOCIETY 2023;
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  65. Deepaisarn S, Imkome E, Wongpatikaseree K, Yuenyong S, Lakanavisid P, Soonthornchaiva R, Yomaboot P, Angkoonsawaengsuk A, Munpansa N. Validation of a Thai artificial chatmate designed for cheering up the elderly during the COVID-19 pandemic. F1000Research 2024;11:1411
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  66. Shah C, Bender EM. Envisioning Information Access Systems: What Makes for Good Tools and a Healthy Web?. ACM Transactions on the Web 2024;18(3):1
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  67. Deepaisarn S, Imkome E, Wongpatikaseree K, Yuenyong S, Lakanavisid P, Soonthornchaiva R, Yomaboot P, Angkoonsawaengsuk A, Munpansa N. Validation of a Thai artificial chatmate designed for cheering up the elderly during the COVID-19 pandemic. F1000Research 2024;11:1411
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  68. Dabiran E, Farivar S, Wang F, Grant G. Virtually human: anthropomorphism in virtual influencer marketing. Journal of Retailing and Consumer Services 2024;79:103797
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According to Crossref, the following books are citing this article (DOI 10.2196/jmir.5239):

  1. Håvik R, Wake JD, Flobak E, Lundervold A, Guribye F. Internet Science. 2019. Chapter 12:133
    CrossRef
  2. McTear M, Callejas Z, Griol D. The Conversational Interface. 2016. Chapter 18:403
    CrossRef
  3. Nordberg OE, Wake JD, Nordby ES, Flobak E, Nordgreen T, Mukhiya SK, Guribye F. Chatbot Research and Design. 2020. Chapter 8:113
    CrossRef
  4. Samendinger S, Max EJ, Feltz DL, Kerr NL. Individual Motivation within Groups. 2020. :149
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  5. Pérez J, Sánchez Y, Serón FJ, Cerezo E. Intelligent Virtual Agents. 2017. Chapter 47:374
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  6. Gu J, Wang X, Yao X, Hu A. Human Aspects of IT for the Aged Population. Technology and Society. 2020. Chapter 16:226
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  7. Rehman SA, Chen Z, Haris M. Advances in Human Factors and Ergonomics in Healthcare and Medical Devices. 2018. Chapter 15:141
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  8. Ahern DK, Braun IM, Cooley ME, Bickmore TW. Oncology Informatics. 2016. :231
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  9. Meade CD, Christy SM, Gwede CK. Geriatric Oncology. 2020. Chapter 21:991
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  10. Sato K, Nose T, Ito A. Advances in Intelligent Information Hiding and Multimedia Signal Processing. 2017. Chapter 4:29
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  11. Meade CD, Christy SM, Gwede CK. Geriatric Oncology. 2018. Chapter 21-1:1
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  12. Bickmore T, Trinh H, Asadi R, Olafsson S. Studies in Conversational UX Design. 2018. Chapter 3:33
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  13. . Teenagers, Sexual Health Information and the Digital Age. 2020. :141
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  14. Chandar P, Khazaeni Y, Davis M, Muller M, Crasso M, Liao QV, Shami NS, Geyer W. Human-Computer Interaction - INTERACT 2017. 2017. Chapter 23:381
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  15. . Foundations of Artificial Intelligence in Healthcare and Bioscience. 2021. :199
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  16. Bickmore T, O'Leary T. Digital Therapeutics for Mental Health and Addiction. 2023. :99
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  17. Keselman A, Smith CA, Leroy G, Kaufman DR. Science | Environment | Health. 2021. Chapter 12:225
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  18. . The Handbook on Socially Interactive Agents. 2022. :403
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  19. Verma S, Malviya R, Alam MA, Tripathi BD. Deep Learning for Targeted Treatments. 2022. :199
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