Mitigating Uncertainty in Consumer Adoption of Medical Artificial Intelligence

This pre-registered study investigates the potential of explicit uncertainty quantification information in mitigating consumers’ reluctance to trust and depend on recommendations by medical artificial intelligence agents’ in decision scenarios characterized by uncertainty.



Citation:

Darius-Aurel Frank, Polymeros Chrysochou, Panagiotis Mitkidis, and Dan Ariely (2020) ,"Mitigating Uncertainty in Consumer Adoption of Medical Artificial Intelligence", in NA - Advances in Consumer Research Volume 48, eds. Jennifer Argo, Tina M. Lowrey, and Hope Jensen Schau, Duluth, MN : Association for Consumer Research, Pages: 1215-1215.

Authors

Darius-Aurel Frank, Aarhus University
Polymeros Chrysochou, Aarhus University, Denmark
Panagiotis Mitkidis, Aarhus University, Denmark
Dan Ariely, Duke University, USA



Volume

NA - Advances in Consumer Research Volume 48 | 2020



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