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

Quality/Credibility of eHealth Information and Trust Issues (485) Chatbots and Conversational Agents (458) Artificial Intelligence (1186) mHealth for Patient Education (214) User Needs and Competencies (270) Information Seeking, Information Needs (419)

Published on in Vol 23, No 11 (2021): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/29386, first published .
The Impact of Explanations on Layperson Trust in Artificial Intelligence–Driven Symptom Checker Apps: Experimental Study

The Impact of Explanations on Layperson Trust in Artificial Intelligence–Driven Symptom Checker Apps: Experimental Study

The Impact of Explanations on Layperson Trust in Artificial Intelligence–Driven Symptom Checker Apps: Experimental Study

Authors of this article:

Claire Woodcock1 Author Orcid Image ;   Brent Mittelstadt1 Author Orcid Image ;   Dan Busbridge Author Orcid Image ;   Grant Blank1 Author Orcid Image
Article Authors Cited by (17) Tweetations (51) Metrics

Journals

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  8. Love C. “Just the Facts Ma’am”: Moral and Ethical Considerations for Artificial Intelligence in Medicine and its Potential to Impact Patient Autonomy and Hope. The Linacre Quarterly 2023;90(4):375 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. Subramanian H, Canfield C, Shank D. Designing explainable AI to improve human-AI team performance: A medical stakeholder-driven scoping review. Artificial Intelligence in Medicine 2024;149:102780 View
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Books/Policy Documents

  1. Rezaeian O, Bayrak A, Asan O. HCI International 2024 Posters. View