Decision Making Strategies and Team Efficacy in Human-AI Teams

被引：6
作者：
Munyaka I. [1 ]
Ashktorab Z. [2 ]
Dugan C. [3 ]
Johnson J. [3 ]
Pan Q. [3 ]
机构：
[1] University of California San Diego, San Diego, CA
[2] IBM Research, 1101 Kitchawan Rd PO Box 218, Yorktown Heights, 10598, NY
[3] IBM Research, 75 Binney Street, Cambridge, 02142, MA
来源：
Proceedings of the ACM on Human-Computer Interaction | 2023年 / 7卷 / CSCW1期
关键词：
decision making; games; human-AI-teams; team efficacy;
D O I：
10.1145/3579476
中图分类号：
学科分类号：
摘要：
Human-AI teams are increasingly prevalent in various domains. We investigate how the decision-making of a team member in a human-AI team impacts the outcome of the collaboration and perceived team-efficacy. In a large scale study on Mechanical Turk (n=125), we find significant differences across different decision making styles and disclosed AI identity disclosure in an AI-driven collaborative game. We find that autocratic decision-making negatively impacts team-efficacy in Human-AI teams, similar to its effects on human-only teams. We find that decision making style and AI-identity disclosure impacts how individuals make decisions in a collaborative context. We discuss our findings of the differences of collaborative behavior in human-human-AI teams and human-AI-AI teams. © 2023 Owner/Author.
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