Overcome Medical Algorithm Aversion: Conditional Joint Effect of Direct and Indirect Information

The just-ended COVID-19 pandemic and the looming global aging remind us that we need to be prepared for the shortage of doctors, which might become an urgent medical crisis in the future. Medical AI could relieve this urgency and sometimes perform better than human doctors; however, people are reluc...

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Vydané v:	International journal of human-computer interaction Ročník 41; číslo 7; s. 3889 - 3900
Hlavní autori:	Zhao, Yansong, Xiao, Chengli
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Norwood Taylor & Francis 03.04.2025 Lawrence Erlbaum Associates, Inc
Predmet:	Aging algorithm aversion algorithmic transparency Algorithms Artificial intelligence COVID-19 Decision making Direct and indirect information Humans Information Mass media Pandemics Physicians quantitation Quantitative analysis social proof Transparency Trust Urgency
ISSN:	1044-7318, 1532-7590, 1044-7318
On-line prístup:	Získať plný text
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