人工智能团队合作:在数字时代重新定义协作
Jan B Schmutz1, Neal Outland2, Sophie Kerstan3
1Department of Psychology, University of Zurich, Switzerland.
Current opinion in psychology
|July 18, 2024
概括
将人工智能 (AI) 整合到人类团队 (HAT) 中是复杂的. 虽然人工智能可以提高性能,但HAT通常在信任,协调和共享理解方面扎,导致表现不佳.
科学领域:
- 人与人工智能的互动
- 团队动力学 团队动力学
- 人工智能的人工智能
背景情况:
- 人类-人工智能团队 (HAT) 是一个具有重大潜力的新兴领域.
- 了解HAT中的团队动态,信任和认知对于有效的整合至关重要.
- 目前的HAT经常表现不佳,尽管AI的能力.
研究的目的:
- 检查HAT中的团队星座和动态.
- 分析对人工智能 (AI) 队友的信任.
- 调查HATs内部的共享认知.
主要方法:
- 文献综述和现有关于人与人工智能合作的研究综合.
- 分析影响HAT团队表现的因素.
- 检查信任动态和共享认知模型.
主要成果:
- 整合人工智能队友最初可能会减少协调,沟通和信任.
- 人工智能的信任往往会随着时间的推移而下降,因为能力被高估了,阻碍了团队合作.
- 帽子经常表现出缺乏团队认知和缺乏相互理解,导致表现不佳.
结论:
- 实现HAT的全部潜力需要解决团队认知和相互理解方面的挑战.
- 计算机科学和心理学之间的跨学科合作对于未来的研究至关重要.
- 需要制定强大的理论框架,以指导有效的HAT的设计和实施.
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