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Catastrophe Models for Cognitive Workload and Fatigue in a Vigilance Dual Task

机译:警惕双重任务中认知工作量和疲劳的突变模型

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Objective: This study investigated two cusp catastrophe models for cognitive workload and fatigue for a vigilance dual task, the role of emotional intelligence and frustration in the performance dynamics, and the dynamics for individuals and teams of two participants. Background: The effects of workload, fatigue, practice, and time on a specific task can be separated with the two models and an appropriate experimental design. Group dynamics add further complications to the understanding of workload and fatigue effects for teams. Method: In this experiment, 141 undergraduates responded to target stimuli that appeared on a simulated security camera display at three rates of speed while completing a jigsaw puzzle. Participants worked alone or in pairs and completed additional measurements prior to or after the main tasks. Results: The workload cusp verified the expected effects of speed and frustration on change in performance. The fatigue cusp showed that positive and negative changes in performance were greater if more work on the secondary task was completed and whether the participants who started with the fast vigilance condition demonstrated less fatigue. Conclusion: The results supported the efficacy of the cusp models and suggested, furthermore, that training modules that varied speed of presentation could buffer the effects of fatigue. Application: The cusp models can be used to analyze virtually any cognitively demanding task set. The particular results generalize to vigilance tasks, although a wider range of conditions within vigilance tasks needs to be investigated further.
机译:目的:本研究针对警惕性双重任务,认知智力和挫折在绩效动态中的作用以及两个参与者的个人和团队的动态,研究了两种认知活动和疲劳的尖峰突变模型。背景:工作量,疲劳,练习和时间对特定任务的影响可以通过两种模型和适当的实验设计加以区分。团队动态为了解团队的工作量和疲劳影响增加了更多的复杂性。方法:在该实验中,完成拼图游戏时,有141名大学生以三种速度对出现在模拟安全摄像机显示屏上的目标刺激做出反应。参与者单独或成对工作,并在主要任务之前或之后完成了其他测量。结果:工作负载尖峰验证了速度和挫折感对性能变化的预期影响。疲劳尖峰表明,如果完成次要任务的更多工作以及从快速警惕状态开始的参与者是否表现出较少的疲劳,则表现的正面和负面变化会更大。结论:结果支持了尖点模型的有效性,并且进一步表明,变化的演示速度的训练模块可以缓冲疲劳的影响。应用:尖点模型可用于分析几乎所有对认知要求很高的任务集。尽管需要进一步调查警戒任务中的更广泛条件,但特定结果通常适用于警戒任务。

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