一个衡量团队多任务处理吞吐量的指标.
Elizabeth L Fox1, August Capiola1, Gregory Bowers2
1Air Force Research Laboratory.
Journal of experimental psychology. Applied
|December 16, 2024
概括
研究人员开发了一个新的指标,团队多任务吞吐量 (tMT),以衡量团队效率. 团队效率受到队友所感知的可靠性和实际表现的重大影响,特别是当期望与现实保持一致时.
科学领域:
- 心理学 心理学 心理学
- 人与计算机的交互
- 组织行为 组织行为
背景情况:
- 衡量团队在协作任务中的表现,尤其是在分布式环境中,是具有挑战性的.
- 现有的指标可能无法完全捕捉团队动态和效率的细微差别.
- 团队多任务吞吐量 (tMT) 是评估协作效率的新概念.
研究的目的:
- 介绍和验证一个新的,不引人注目的估计团队多任务吞吐量 (tMT).
- 调查客观表现和队友的感知可靠性对分布式DYADs中的tMT的影响.
- 确定预期和实际队友表现之间的一致性如何影响tMT.
主要方法:
- 使用了对象内部的实验设计.
- 参与者在分布式二中完成了协作任务.
- 队友的客观表现和所谓的可靠性被系统地操纵.
- 团队多任务吞吐量 (tMT) 被量化评估.
主要成果:
- 当队友被描述为可靠时,在表现低和高的队友之间观察到tMT的显著差异,但当被描述为不可靠时却没有.
- 当队友的表现与预期相匹配时,tMT 部分较高,而当它违反预期时则相比较高.
- 感知到的可靠性和目标绩效相互作用,影响团队效率.
结论:
- 新的tMT指标有效地捕捉了团队绩效动态.
- 目标性能和感知可靠性在协作任务中动态影响团队效率.
- 预期和实际性能之间的相互作用对于优化团队多任务吞吐量至关重要.
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