User Experience of Symptom Checkers: A Systematic Review
August 19, 2022 Β· Declared Dead Β· π American Medical Informatics Association Annual Symposium
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Authors
Yue You, Renkai Ma, Xinning Gui
arXiv ID
2208.09100
Category
cs.HC: Human-Computer Interaction
Citations
10
Venue
American Medical Informatics Association Annual Symposium
Last Checked
4 months ago
Abstract
This review reports the user experience of symptom checkers, aiming to characterize users studied in the existing literature, identify the aspects of user experience of symptom checkers that have been studied, and offer design suggestions. Our literature search resulted in 31 publications. We found that (1) most symptom checker users are relatively young; (2) eight relevant aspects of user experience have been explored, including motivation, trust, acceptability, satisfaction, accuracy, usability, safety or security, and functionality; (3) future symptom checkers should improve their accuracy, safety, and usability.
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