团队合作
认知
领域(数学)
社会分布认知
心理学
人类智力
知识管理
认知科学
人工智能
计算机科学
管理
数学
经济
神经科学
纯数学
作者
Jan B. Schmutz,Neal Outland,Sophie Kerstan,Eleni Georganta,Anna‐Sophie Ulfert
标识
DOI:10.1016/j.copsyc.2024.101837
摘要
Integrating artificial intelligence (AI) into human teams, forming human-AI teams (HATs), is a rapidly evolving field. This overview examines the complexities of team constellations and dynamics, trust in AI teammates, and shared cognition within HATs. Adding an AI teammate often reduces coordination, communication, and trust. Further, trust in AI tends to decline over time due to initial overestimation of capabilities, impairing teamwork. Despite AI's potential to enhance performance in contexts like chess and medicine, HATs frequently underperform due to poor team cognition and inadequate mutual understanding. Future research must address these issues with interdisciplinary collaboration between computer science and psychology and advance robust theoretical frameworks to realize the full potential of human-AI teaming.
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