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Task Difficulty and Time Constraint in Programmer Multitasking: An Analysis of Prospective Memory Performance and Cognitive Workload

机译:程序员多任务处理中的任务难度和时间限制:预期内存性能和认知工作量的分析

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The present study investigates how task difficulty and time constraint affect prospective memory I ProM) performance in programmer multitasking (N = 60). The results indicate that an increase in task difficulty and time constraint has a detrimental effect on ProM performance. Moreover, participants are able to successfully complete fewer difficult programs as compared to easier programs regardless of time constraint. Analysis shows that difficulty of the programming problems does not necessarily have a significant effect on cognitive workload (in short, workload) experienced by the programmers. Time constraint has a significant effect on workload experienced by the programmers. The results not only suggest a ProM performance decrement under high urgency (HU) as compared to low urgency (L Li) but also show that time constraint has a significant effect on workload. Multiple regression analysis reveals that temporal demand is the most critical dimension of workload which explains 46% of the variation.
机译:本研究调查任务难度和时间限制如何影响程序员多任务处理(N = 60)中的预期内存(ProM)性能。结果表明,任务难度和时间限制的增加对ProM性能有不利影响。而且,与更容易的程序相比,参与者能够成功完成更少的困难程序,而不受时间限制。分析表明,编程问题的难度并不一定会对程序员所经历的认知工作量(简称工作量)产生重大影响。时间限制对程序员所经历的工作量具有重大影响。结果不仅表明与低紧急度(L Li)相比,高紧急度(HU)下ProM性能下降,而且还表明时间限制对工作量具有显着影响。多元回归分析表明,时间需求是工作量的最关键维度,可以解释46%的变化。

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