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...

Full description

Saved in:

Bibliographic Details
Published in:	International journal of human-computer interaction Vol. 41; no. 7; pp. 3889 - 3900
Main Authors:	Zhao, Yansong, Xiao, Chengli
Format:	Journal Article
Language:	English
Published:	Norwood Taylor & Francis 03.04.2025 Lawrence Erlbaum Associates, Inc
Subjects:	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
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!