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

Usability of Apps and User Perceptions of mHealth (1188) Chatbots and Conversational Agents (740) Design and Formative Evaluation of Mobile Apps (809) mHealth for Patient Education (292) Infectious Diseases (non-STD/STI) (1726) Qualitative Methods (131) Information Seeking, Information Needs (561) Information Demand (47)

Published on in Vol 9, No 11 (2021): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26424, first published .
Acceptance of an Informational Antituberculosis Chatbot Among Korean Adults: Mixed Methods Research

Acceptance of an Informational Antituberculosis Chatbot Among Korean Adults: Mixed Methods Research

Acceptance of an Informational Antituberculosis Chatbot Among Korean Adults: Mixed Methods Research

Authors of this article:

Agnes Jihae Kim1, 2 Author Orcid Image ;   Jisun Yang3 Author Orcid Image ;   Yihyun Jang4 Author Orcid Image ;   Joon Sang Baek5 Author Orcid Image
Article Authors Cited by (26) Tweetations (2) Metrics

Journals

  1. 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
  2. Chen C, Huang C, Cheng H, Lin H, Chu Y, Chang C, Lai Y, Wang M, Cheng Y. Smartphone-Enabled versus Conventional Otoscopy in Detecting Middle Ear Disease: A Meta-Analysis. Diagnostics 2022;12(4):972 View
  3. Gopinath K, Kasilingam D. Antecedents of intention to use chatbots in service encounters: A meta‐analytic review. International Journal of Consumer Studies 2023;47(6):2367 View
  4. Wutz M, Hermes M, Winter V, Köberlein-Neu J. Factors Influencing the Acceptability, Acceptance, and Adoption of Conversational Agents in Health Care: Integrative Review. Journal of Medical Internet Research 2023;25:e46548 View
  5. Liew T, Tan S, Yoo N, Gan C, Lee Y. Let's talk about Sex!: AI and relational factors in the adoption of a chatbot conveying sexual and reproductive health information. Computers in Human Behavior Reports 2023;11:100323 View
  6. Li B, Chen Y, Liu L, Zheng B. Users’ intention to adopt artificial intelligence-based chatbot: a meta-analysis. The Service Industries Journal 2023;43(15-16):1117 View
  7. Chakraborty C, Pal S, Bhattacharya M, Dash S, Lee S. Overview of Chatbots with special emphasis on artificial intelligence-enabled ChatGPT in medical science. Frontiers in Artificial Intelligence 2023;6 View
  8. Wang R, Rouleau G, Booth G, Brazeau A, El-Dassouki N, Taylor M, Cafazzo J, Greenberg M, Nakhla M, Shulman R, Desveaux L. Understanding Whether and How a Digital Health Intervention Improves Transition Care for Emerging Adults Living With Type 1 Diabetes: Protocol for a Mixed Methods Realist Evaluation. JMIR Research Protocols 2023;12:e46115 View
  9. Wang X, Luo R, Liu Y, Chen P, Tao Y, He Y. Revealing the complexity of users’ intention to adopt healthcare chatbots: A mixed-method analysis of antecedent condition configurations. Information Processing & Management 2023;60(5):103444 View
  10. Al-Emran M, AlQudah A, Abbasi G, Al-Sharafi M, Iranmanesh M. Determinants of Using AI-Based Chatbots for Knowledge Sharing: Evidence From PLS-SEM and Fuzzy Sets (fsQCA). IEEE Transactions on Engineering Management 2024;71:4985 View
  11. Al-Qaysi N, Al-Emran M, Al-Sharafi M, Iranmanesh M, Ahmad A, Mahmoud M. Determinants of ChatGPT Use and its Impact on Learning Performance: An Integrated Model of BRT and TPB. International Journal of Human–Computer Interaction 2025;41(9):5462 View
  12. Shan R, Wang Z, Ma C, Guo C, Cui N. Acceptance of the Internet-Based Sharing Nursing Service among caregivers of elderly with chronic diseases. BMC Nursing 2024;23(1) View
  13. Chong C, Makmor-Bakry M, Hatah E, Mohd Tahir N, Mustafa N, Capule F, Hermansyah A. Factors infuencing type 2 diabetes mellitus patients’ readiness, acceptance and barriers towards mobile apps adoption for medication adherence. International Journal of Diabetes in Developing Countries 2025;45(3):635 View
  14. Qin H, Zhu Y, Jiang Y, Luo S, Huang C. Examining the impact of personalization and carefulness in AI-generated health advice: Trust, adoption, and insights in online healthcare consultations experiments. Technology in Society 2024;79:102726 View
  15. Shuhaiber A, Kuhail M, Salman S. ChatGPT in higher education - A Student's perspective. Computers in Human Behavior Reports 2025;17:100565 View
  16. Meng H, Lu X, Xu J. The Impact of Chatbot Response Strategies and Emojis Usage on Customers’ Purchase Intention: The Mediating Roles of Psychological Distance and Performance Expectancy. Behavioral Sciences 2025;15(2):117 View
  17. Tomas F, Immerzeel J. Chatbots in eyewitness interviews: perceived usefulness and ease of use drive intent to use conversational agent. Journal of Criminal Psychology 2025 View
  18. Al-Somali S. Integrating artificial intelligence (AI) in healthcare: advancing older adults’ health management in Saudi Arabia through AI-powered chatbots. PeerJ Computer Science 2025;11:e2773 View
  19. Foroughi B, Iranmanesh M, Asadi S, Al-Emran M, Ghobakhloo M, Batouei A. Extending UTAUT2 to explore intention to use ChatGPT for travel planning: a hybrid PLS-ANN approach. Journal of Tourism Futures 2025 View
  20. Xie Z. Assessing the impact of chatbots on health decision-making: A multifactorial experimental approach. Technology and Health Care 2025;33(5):2266 View
  21. Alharbi N, Ud Din F, Paul D, Sadgrove E. Driving AI chatbot adoption: A systematic review of factors, barriers, and future research directions. Journal of Open Innovation: Technology, Market, and Complexity 2025;11(3):100590 View
  22. Wang X, Xu L, Zhang H, Fu Q. Between Surveillance and Support: A Qualitative Study of Tuberculosis Patients’ Expectations and Concerns About AI-Assisted Remote Health Services in China. Patient Preference and Adherence 2025;Volume 19:3717 View
  23. Luo W, Tang T. A Study on Chinese College Students' Intention to Use Toward AI Chatbots: Integrating Innovation Diffusion Theory and Technology Acceptance Model. European Journal of Education 2026;61(1) View

Books/Policy Documents

  1. Saiz Manzanares M, Martínez Martín M, Escolar Llamazares M, Ortiz Huerta J, Santamaría Vázquez M, Mercado Val E, Marticorena Sánchez R, Arnáiz González Á, Díez Pastor J, Rodríguez Arribas S. Training and specialisation in early intervention: use of technological resources and artificial intelligence. View
  2. Saiz Manzanares M, Martínez Martín M, Escolar Llamazares M, Ortiz Huerta J, Santamaría Vázquez M, Mercado Val E, Marticorena Sánchez R, Arnáiz González Á, Díez Pastor J, Rodríguez Arribas S. Formación y especialización en atención temprana: uso de recursos tecnológicos y de inteligencia artificial. View

Conference Proceedings

  1. Pang W, Liew T, Tan S, Teo S, Lee Y, Lim T. Proceedings of the 2024 The 6th World Symposium on Software Engineering (WSSE). Analyzing Use Intentions for Health-Diagnostic Chatbots: An Extended Technology Acceptance Model Approach View