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

Usability of Apps and User Perceptions of mHealth (993) Chatbots and Conversational Agents (543) Design and Formative Evaluation of Mobile Apps (706) mHealth for Patient Education (240) Infectious Diseases (non-STD/STI) (1592) Qualitative Methods (76) Information Seeking, Information Needs (481) Information Demand (33)

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 (18) Tweetations (2) Metrics

Journals

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  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
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