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Cusp catastrophe models for cognitive workload and fatigue in teams

机译:尖杉灾难模型用于认知工作量和团队的疲劳

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摘要

The use of two cusp catastrophe models has been effective for untangling the effects of cognitive workload, fatigue, and other complications on the performance of individuals. This study is the first to use the two models to separate workload and fatigue effects on team performance. In an experiment involving an emergency response simulation, 360 undergraduates were organized into 44 teams. Workload was varied by team size, number of opponents, and time pressure. The cusp models for workload and fatigue were more accurate for describing trends in team performance criteria compared to linear alternatives. Individual differences in elasticity-rigidity were less important than subjective workload and experimental conditions as control variables. Fluid intelligence within the team was an important compensatory ability in the fatigue model. Results further supported the nonlinear paradigm for the assessment of cognitive workload and fatigue and demonstrated its effectiveness for understanding team phenomena.
机译:使用两个尖端的灾难模型对于解重认知工作量,疲劳和其他并发症对个人的性能的影响有效。本研究是第一个使用这两种模型将工作量和疲劳效果分开对团队性能的效果。在涉及应急响应模拟的实验中,将360名本科生组织成44支队伍。工作量由团队规模,对手数量和时间压力变化。与线性替代品相比,工作负荷和疲劳的CUSP模型更准确地描述团队性能标准的趋势。弹性 - 刚性的个体差异比主体工作量和实验条件不那么重要,作为控制变量。该团队内的流体智能是疲劳模型中的重要补偿能力。结果进一步支持对认知工作量和疲劳评估的非线性范式,并证明了其对理解团队现象的有效性。

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