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

Quality/Credibility of eHealth Information and Trust Issues (524) Chatbots and Conversational Agents (518) Artificial Intelligence (1329) mHealth for Patient Education (227) User Needs and Competencies (292) Information Seeking, Information Needs (459)

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 (19) Tweetations (49) Metrics

Journals

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  11. Wetzel A, Koch R, Koch N, Klemmt M, Müller R, Preiser C, Rieger M, Rösel I, Ranisch R, Ehni H, Joos S. ‘Better see a doctor?’ Status quo of symptom checker apps in Germany: A cross-sectional survey with a mixed-methods design (CHECK.APP). DIGITAL HEALTH 2024;10 View
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Books/Policy Documents

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