背景(考古学)
群体决策
知识管理
心理学
身份(音乐)
人力资源
团队效能
社会心理学
计算机科学
管理
古生物学
物理
声学
经济
生物
作者
Imani N. S. Munyaka,Zahra Ashktorab,Casey Dugan,James Johnson,Pan Qian
出处
期刊:Proceedings of the ACM on human-computer interaction
[Association for Computing Machinery]
日期:2023-04-14
卷期号:7 (CSCW1): 1-24
被引量:2
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.
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