对于认知工作量和疲劳的Cusp灾难模型,用于做出动态决策的团队
Stephen J Guastello1, Laura M McGuigan1
1Marquette University, Milwaukee, WI.
Nonlinear dynamics, psychology, and life sciences
|December 28, 2023
概括
库斯普模型有效地预测了团队在动态决策任务中的表现,识别了工作负载和疲劳管理的情绪智能和认知灵活性等关键因素. 这些模型可以概括为人类自主团队.
科学领域:
- 认知心理学 认知心理学
- 人与计算机的互动.
- 团队动态 团队动态
背景情况:
- 认知工作量和疲劳显著影响团队在动态决策中的表现.
- 库斯普灾难模型提供了一个框架,以理解由于这些因素而导致的业绩突然变化.
研究的目的:
- 评估对工作负载和疲劳的Cusp模型在团队基于动态决策中的适用性.
- 确定影响表现分叉的特定认知和情绪因素.
主要方法:
- 32个小组 (3-5个成员) 玩了一款第一人称射击游戏,参与了动态的决策.
- 收集了主观的工作量评级和认知指标 (弹性与刚性).
- 应用Cusp模型来分析与工作负载和疲劳相关的性能数据.
主要成果:
- 工作负载顶点模型显示了与情绪智能,认知灵活性和决策能力相关的性能分叉 (R2=.54-.56).
- 主观工作负载模型表明,分叉带有更高的感知需求和努力 (R2=.51).
- 疲劳模型揭示了与更少的游戏轮和更小的AI代理组大小相关的分叉 (R2=.66-.67).
结论:
- 在团队动态决策中,Cusp模型可以将工作负载和疲劳概括为工作负载和疲劳.
- 需要对自主同步和人自主团队动态进行进一步的研究.
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