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

Claire WoodcockBrent Daniel MittelstadtDan BusbridgeGrant Blank
Published in: Journal of medical Internet research (2021)
System builders developing explanations for symptom-checking apps should consider the recipient's knowledge of a disease and tailor explanations to each user's specific need. Effort should be placed on generating explanations that are personalized to each user of a symptom checker to fully discount the diseases that they may be aware of and to close their information gap.
Keyphrases
  • artificial intelligence
  • machine learning
  • big data
  • deep learning
  • patient reported
  • healthcare
  • health information
  • social media