当误解与人工智能相遇时:对人-人工智能和人-人类团队沟通和表现的信任的关键作用
1School of Economics and Management, Beijing University of Chemical Technology, Beijing, China.
Frontiers in psychology
|November 10, 2025
概括
人工智能代理信息遗漏侵蚀了团队的信任和绩效. 然而,团队信任可以减轻模两可的AI表达的负面影响,提高人类-AI团队的协作弹性.
科学领域:
- 组织行为 组织行为
- 人与计算机的交互
- 人工智能的人工智能
背景情况:
- 将人工智能 (AI) 整合到团队工作中,在管理沟通中断方面提出了挑战.
- 人与人工智能协作中的误解,特别是来自人工智能代理人的误解,可能会降低信任和性能.
- 人工智能集成团队中这些影响背后的机制需要进一步探索.
研究的目的:
- 调查人工智能代理对团队信任和绩效的不同类型误解 (信息遗漏与模两可的表达) 的影响.
- 为了比较人类-人工智能团队与人类-人类团队之间的这些效应.
- 探索团队信任和团队类型对误解和团队结果之间的关系的调节作用.
主要方法:
- 一个具有2 (团队类型:人-人工智能与人-人类) × 2 (误解类型:信息遗漏与模两可的表达) 的实验设计.
- 126名参与者在计划和写作任务上合作.
- 基于进化心理学和信任理论.
主要成果:
- 人工智能驱动的信息遗漏大大降低了团队的信任,阻碍了沟通效率和表现.
- 模两可的表达式的负面影响被团队信任所调节,更高的信任导致更大的适应性.
- 团队类型影响了从误解到信任和表现的途径.
结论:
- 人工智能信息遗漏对团队的信任和协作环境中的表现构成重大威胁.
- 团队信任是对人工智能模糊性所带来的沟通挑战的关键缓冲.
- 研究结果为优化人工智能系统和改进人类-人工智能协作管理提供了见解.
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