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

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

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

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

Journals

  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) View
  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) View
  3. Pang P, 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 View
  4. Pulley J, Jerome R, Bernard G, Olson E, Tan J, Wilkins C, Harris P. Connecting the public with clinical trial options: The ResearchMatch Trials Today tool. Journal of Clinical and Translational Science 2018;2(4):253 View
  5. Fakoya O, McCorry N, Donnelly M. Loneliness and social isolation interventions for older adults: a scoping review of reviews. BMC Public Health 2020;20(1) View
  6. Xing Z, Yu F, Du J, Walker J, Paulson C, Mani N, Song L. Conversational Interfaces for Health: Bibliometric Analysis of Grants, Publications, and Patents. Journal of Medical Internet Research 2019;21(11):e14672 View
  7. Araujo T, Helberger N, Kruikemeier S, de Vreese C. In AI we trust? Perceptions about automated decision-making by artificial intelligence. AI & SOCIETY 2020;35(3):611 View
  8. Underhill-Blazey M, Stopfer J, Chittenden A, Nayak M, Lansang K, Lederman R, Garber J, Gundersen D. Development and testing of the KnowGene scale to assess general cancer genetic knowledge related to multigene panel testing. Patient Education and Counseling 2019;102(8):1558 View
  9. Crangle C, Bradley C, Carlin P, Esterhay R, Harper R, Kearney P, McCarthy V, McTear M, Savage E, Tuttle M, Wallace J, Atkin S. Exploring patient information needs in type 2 diabetes: A cross sectional study of questions. PLOS ONE 2018;13(11):e0203429 View
  10. Thorup C, Bundgaard K, Pedersen P. Transformation of health professional/patient caring relationships through information and communication technologies used in telemedicine. JBI Database of Systematic Reviews and Implementation Reports 2019;17(4):470 View
  11. van Velsen L, Cabrita M, op den Akker H, Brandl L, Isaac J, Suárez M, Gouveia A, Dinis de Sousa R, Rodrigues A, Canhão H, Evans N, Blok M, Alcobia C, Brodbeck J. LEAVES (optimizing the mentaL health and resiliencE of older Adults that haVe lost thEir spouSe via blended, online therapy): Proposal for an Online Service Development and Evaluation. JMIR Research Protocols 2020;9(9):e19344 View
  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) View
  13. Bickmore T, Trinh H, Olafsson S, O'Leary T, Asadi R, Rickles N, 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 View
  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 View
  15. Mozgai S, Hartholt A, Rizzo A. Systematic Representative Design and Clinical Virtual Reality. Psychological Inquiry 2019;30(4):231 View
  16. Grekin E, Beatty J, Ondersma S. Mobile Health Interventions: Exploring the Use of Common Relationship Factors. JMIR mHealth and uHealth 2019;7(4):e11245 View
  17. Frampton G, Shepherd J, Pickett K, Griffiths G, Wyatt J. Digital tools for the recruitment and retention of participants in randomised controlled trials: a systematic map. Trials 2020;21(1) View
  18. Nousias S, Lalos A, Arvanitis G, Moustakas K, Tsirelis T, Kikidis D, Votis K, Tzovaras D. An mHealth System for Monitoring Medication Adherence in Obstructive Respiratory Diseases Using Content Based Audio Classification. IEEE Access 2018;6:11871 View
  19. Rizzo A, Thomas Koenig S, Talbot T. Clinical Results Using Virtual Reality. Journal of Technology in Human Services 2019;37(1):51 View
  20. Magnani J, Schlusser C, Kimani E, Rollman B, Paasche-Orlow M, Bickmore T. The Atrial Fibrillation Health Literacy Information Technology System: Pilot Assessment. JMIR Cardio 2017;1(2):e7 View
  21. Martínez-Miranda J. Embodied Conversational Agents for the Detection and Prevention of Suicidal Behaviour: Current Applications and Open Challenges. Journal of Medical Systems 2017;41(9) View
  22. Zhang Z, Bickmore T, Paasche-Orlow M. Perceived organizational affiliation and its effects on patient trust: Role modeling with embodied conversational agents. Patient Education and Counseling 2017;100(9):1730 View
  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 View
  24. Sánchez-López Y, Cerezo E. Designing emotional BDI agents: good practices and open questions. The Knowledge Engineering Review 2019;34 View
  25. Picard C, Smith K, Picard K, Douma M. Can Alexa, Cortana, Google Assistant and Siri save your life? A mixed-methods analysis of virtual digital assistants and their responses to first aid and basic life support queries. BMJ Innovations 2020;6(1):26 View
  26. Iacobelli F, Adler R, Buitrago D, Buscemi J, Corden M, Perez-Tamayo A, Penedo F, Rodriguez M, Yanez B. Designing an mHealth application to bridge health disparities in Latina breast cancer survivors: a community-supported design approach. Design for Health 2018;2(1):58 View
  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 View
  28. Sander L, Kuhn C, Bengel J, Krämer L. Antwortverhalten von deutschsprachigen Sprachassistenten auf Gesundheitsfragen. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz 2019;62(8):970 View
  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 View
  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 View
  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 View
  32. Guhl E, Althouse A, Pusateri A, Kimani E, Paasche-Orlow M, Bickmore T, Magnani J. The Atrial Fibrillation Health Literacy Information Technology Trial: Pilot Trial of a Mobile Health App for Atrial Fibrillation. JMIR Cardio 2020;4(1):e17162 View
  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 View
  34. Navarra A, Gwadz M, Whittemore R, Bakken S, Cleland C, Burleson W, Jacobs S, Melkus G. 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 View
  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 View
  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 View
  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 View
  38. Mirbabaie M, Stieglitz S, Frick N. Hybrid intelligence in hospitals: towards a research agenda for collaboration. Electronic Markets 2021;31(2):365 View
  39. Miao F, Kozlenkova I, Wang H, Xie T, Palmatier R. An Emerging Theory of Avatar Marketing. Journal of Marketing 2022;86(1):67 View
  40. Magnani J, Ferry D, Swabe G, Martin D, Chen X, Brooks M, El Khoudary S. 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 View
  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 View
  42. Su Z, Schneider J, Young S. The Role of Conversational Agents for Substance Use Disorder in Social Distancing Contexts. Substance Use & Misuse 2021;56(11):1732 View
  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 View
  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 View
  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 View
  46. Zimmermann B, Willem T, Bredthauer C, Buyx A. Ethical Issues in Social Media Recruitment for Clinical Studies: Ethical Analysis and Framework. Journal of Medical Internet Research 2022;24(5):e31231 View
  47. 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
  48. Bazrafshani A, Panahi S, Sharifi H, Merghati-Khoei E, Ahmed S. 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 View
  49. Mellers B, Lu L, McCoy J. Predicting the future with humans and AI. Consumer Psychology Review 2023;6(1):109 View
  50. Motger Q, Franch X, Marco J. Software-Based Dialogue Systems: Survey, Taxonomy, and Challenges. ACM Computing Surveys 2023;55(5):1 View
  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 View
  52. Magnani J, Ferry D, Swabe G, Martin D, Chen X, Brooks M, Kimani E, Paasche-Orlow M, Ólafsson S, Bickmore T, El Khoudary S. Design and rationale of the mobile health intervention for rural atrial fibrillation. American Heart Journal 2022;252:16 View
  53. Montenegro J, da Costa C. The HoPE Model Architecture: a Novel Approach to Pregnancy Information Retrieval Based on Conversational Agents. Journal of Healthcare Informatics Research 2022;6(3):253 View
  54. Dowlagar S, Mamidi R. A code-mixed task-oriented dialog dataset for medical domain. Computer Speech & Language 2023;78:101449 View
  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 View
  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 View
  57. Koulouri T, Macredie R, Olakitan D. Chatbots to Support Young Adults’ Mental Health: An Exploratory Study of Acceptability. ACM Transactions on Interactive Intelligent Systems 2022;12(2):1 View
  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 View
  59. Wang A, Qian Z, Briggs L, Cole A, Reis L, Trinh Q. The Use of Chatbots in Oncological Care: A Narrative Review. International Journal of General Medicine 2023;Volume 16:1591 View
  60. Amjad A, Kordel P, Fernandes G. A Review on Innovation in Healthcare Sector (Telehealth) through Artificial Intelligence. Sustainability 2023;15(8):6655 View
  61. Hsu P, Nguyen T, Wang C, Huang P. Chatbot commerce—How contextual factors affect Chatbot effectiveness. Electronic Markets 2023;33(1) View
  62. Loveys K, Sagar M, Antoni M, Broadbent E. The Impact of Virtual Humans on Psychosomatic Medicine. Psychosomatic Medicine 2023;85(7):619 View
  63. Mills R, Mangone E, Lesh N, Mohan D, Baraitser P. Chatbots to Improve Sexual and Reproductive Health: Realist Synthesis. Journal of Medical Internet Research 2023;25:e46761 View
  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 View
  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 View
  66. Shah C, Bender E. Envisioning Information Access Systems: What Makes for Good Tools and a Healthy Web?. ACM Transactions on the Web 2024;18(3):1 View
  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 View
  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 View
  69. Hudek N, Carroll K, Semchishen S, Vanderhout S, Presseau J, Grimshaw J, Fergusson D, Gillies K, Graham I, Taljaard M, Brehaut J. Describing the content of trial recruitment interventions using the TIDieR reporting checklist: a systematic methodology review. BMC Medical Research Methodology 2024;24(1) View
  70. Su Z, Kamath S, Tirakitsoontorn P, Chen Y. The Hidden Burden: Encountering and Managing (Unintended) Stigma in Children with Serious Illnesses. Proceedings of the ACM on Human-Computer Interaction 2024;8(CSCW1):1 View
  71. Bricker J, Sullivan B, Mull K, Santiago-Torres M, Lavista Ferres J. Conversational Chatbot for Cigarette Smoking Cessation: Results From the 11-Step User-Centered Design Development Process and Randomized Controlled Trial. JMIR mHealth and uHealth 2024;12:e57318 View
  72. Wang X, Cao N, Chen Q, Cao S. The interaction design of 3D virtual humans: A survey. Computer Science Review 2024;53:100653 View

Books/Policy Documents

  1. Håvik R, Wake J, Flobak E, Lundervold A, Guribye F. Internet Science. View
  2. McTear M, Callejas Z, Griol D. The Conversational Interface. View
  3. Nordberg O, Wake J, Nordby E, Flobak E, Nordgreen T, Mukhiya S, Guribye F. Chatbot Research and Design. View
  4. Samendinger S, Max E, Feltz D, Kerr N. Individual Motivation within Groups. View
  5. Pérez J, Sánchez Y, Serón F, Cerezo E. Intelligent Virtual Agents. View
  6. Gu J, Wang X, Yao X, Hu A. Human Aspects of IT for the Aged Population. Technology and Society. View
  7. Rehman S, Chen Z, Haris M. Advances in Human Factors and Ergonomics in Healthcare and Medical Devices. View
  8. Ahern D, Braun I, Cooley M, Bickmore T. Oncology Informatics. View
  9. Meade C, Christy S, Gwede C. Geriatric Oncology. View
  10. Sato K, Nose T, Ito A. Advances in Intelligent Information Hiding and Multimedia Signal Processing. View
  11. Meade C, Christy S, Gwede C. Geriatric Oncology. View
  12. Bickmore T, Trinh H, Asadi R, Olafsson S. Studies in Conversational UX Design. View
  13. . Teenagers, Sexual Health Information and the Digital Age. View
  14. Chandar P, Khazaeni Y, Davis M, Muller M, Crasso M, Liao Q, Shami N, Geyer W. Human-Computer Interaction - INTERACT 2017. View
  15. Catania L. Foundations of Artificial Intelligence in Healthcare and Bioscience. View
  16. Bickmore T, O'Leary T. Digital Therapeutics for Mental Health and Addiction. View
  17. Keselman A, Smith C, Leroy G, Kaufman D. Science | Environment | Health. View
  18. Bickmore T. The Handbook on Socially Interactive Agents. View
  19. Verma S, Malviya R, Alam M, Tripathi B. Deep Learning for Targeted Treatments. View