人与人工智能组合:利用交易记忆,发声提升团队效率
Nadine Bienefeld1, Michaela Kolbe2, Giovanni Camen2
1Work and Organizational Psychology, Department of Management, Technology, and Economics, ETH Zürich, Zurich, Switzerland.
Frontiers in psychology
|August 21, 2023
概括
人工智能 (AI) 代理商增强了团队假设生成和在高性能重症监护 (ICU) 团队中发言. 与人类队友不同,从AI获取信息可以促进团队创新和沟通.
科学领域:
- 人与人工智能的互动
- 团队科学 团队科学
- 临床决策支持系统 临床决策支持系统
背景情况:
- 了解人类-人工智能协作中的团队动态对于优化绩效至关重要.
- 人工智能 (AI) 作为团队交易性记忆系统中的知识来源的作用尚未得到充分探索.
- 研究人工智能如何影响沟通行为,例如在医疗保健团队中发声,是必不可少的.
研究的目的:
- 为了检查交易记忆的影响和在模拟的重症监护室 (ICU) 环境中对人类-AI团队的发言.
- 为了区分访问人工智能代理人与人类团队成员信息对团队绩效的影响.
- 确定人工智能对医疗保健团队中的假设生成和发言行为所做出的具体贡献.
主要方法:
- 一项前性观察性研究,涉及180名ICU医生和护士在模拟的临床环境中与AI互动.
- 分析与团队表现相关的交易性记忆访问和发言行为.
- 对人工智能与人类信息获取对团队成果的影响差异的统计检查.
主要成果:
- 从人工智能代理人获取信息与高绩效团队的新假设生成和发言行为有积极的相关性.
- 与人工智能代理人的互动与人类互动有很大的不同.
- 访问来自人类团队成员的信息与产生假设和发言有负面关联,不管团队的表现如何.
结论:
- 人工智能代理可以有效地被集成为团队的交易性记忆系统中的知识来源.
- 人工智能可以作为促进说话行为的催化剂,特别是在有效的团队中.
- 这些发现有助于设计未来的人工智能系统,并为医疗保健和其他领域的人工智能团队提供培训计划.
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