Cognitive Empathy within Patient-AI Communication for Diagnostic Reasoning
Document Type
Article
Publication Date
10-20-2023
Department
Department of Cognitive and Learning Sciences
Abstract
Empathy is an essential part of communication in healthcare. For artificial intelligence (AI) to be successfully incorporated as an integral part of healthcare systems, it may need to incorporate cognitively empathetic interactions with patients, meaning it uses the reasoning, the perspectives, and the information of patients as much as possible. In this paper, we discuss four lab experiments in which we tested different aspects of empathy using the AI Cognitive Empathy Scale (AICES). Overall, cognitive empathy elements show promise to create a shared understanding in patients-AI communication that may lead to increased patient satisfaction and willingness to use AI systems for initial diagnosis purposes.
Publication Title
Proceedings of the Human Factors and Ergonomics Society Annual Meeting
Recommended Citation
Alam, L.,
&
Mueller, S. T.
(2023).
Cognitive Empathy within Patient-AI Communication for Diagnostic Reasoning.
Proceedings of the Human Factors and Ergonomics Society Annual Meeting,
67(1), 1055-1062.
http://doi.org/10.1177/21695067231193682
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p2/636