Factors that influence the adoption of human-AI collaboration in clinical decision-making
April 19, 2022 Β· Declared Dead Β· π European Conference on Information Systems
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Authors
Patrick Hemmer, Max Schemmer, Lara Riefle, Nico Rosellen, Michael VΓΆssing, Niklas KΓΌhl
arXiv ID
2204.09082
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.AI
Citations
16
Venue
European Conference on Information Systems
Last Checked
4 months ago
Abstract
Recent developments in Artificial Intelligence (AI) have fueled the emergence of human-AI collaboration, a setting where AI is a coequal partner. Especially in clinical decision-making, it has the potential to improve treatment quality by assisting overworked medical professionals. Even though research has started to investigate the utilization of AI for clinical decision-making, its potential benefits do not imply its adoption by medical professionals. While several studies have started to analyze adoption criteria from a technical perspective, research providing a human-centered perspective with a focus on AI's potential for becoming a coequal team member in the decision-making process remains limited. Therefore, in this work, we identify factors for the adoption of human-AI collaboration by conducting a series of semi-structured interviews with experts in the healthcare domain. We identify six relevant adoption factors and highlight existing tensions between them and effective human-AI collaboration.
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