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

Usability of Apps and User Perceptions of mHealth (902) Chatbots and Conversational Agents (473) Design and Formative Evaluation of Mobile Apps (664) mHealth for Patient Education (215) Infectious Diseases (non-STD/STI) (1490) Qualitative Methods (62) Information Seeking, Information Needs (426) Information Demand (31)

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 (13) 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
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  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 2024:1 View