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Human-AI collaboration is not very collaborative yet: a taxonomy of interaction patterns in AI-assisted decision making from a systematic review

Computer Science

Human-AI collaboration is not very collaborative yet: a taxonomy of interaction patterns in AI-assisted decision making from a systematic review

C. Gomez, S. M. Cho, et al.

A taxonomy of interaction patterns addresses how AI should present information to align algorithmic outputs with human expectations and enable seamless integration into decision-making processes. Based on a systematic review of 105 articles, the study identifies a dominance of simplistic collaboration paradigms and outlines directions for clearer communication, trustworthiness, and collaboration. Research conducted by Catalina Gomez, Sue Min Cho, Shichang Ke, Chien-Ming Huang, and Mathias Unberath.

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~3 min • Beginner • English
Citation Metrics
Citations
13
Influential Citations
1
Reference Count
134
Citation by Year

Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

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