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The Role of Task-Related Learned Representations in Explaining Asymmetries in Task Switching

机译:与任务相关的学习表示在解释任务切换中的不对称性中的作用

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摘要

Task switch costs often show an asymmetry, with switch costs being larger when switching from a difficult task to an easier task. This asymmetry has been explained by difficult tasks being represented more strongly and consequently requiring more inhibition prior to switching to the easier task. The present study shows that switch cost asymmetries observed in arithmetic tasks (addition vs. subtraction) do not depend on task difficulty: Switch costs of similar magnitudes were obtained when participants were presented with unsolvable pseudo-equations that did not differ in task difficulty. Further experiments showed that neither task switch costs nor switch cost asymmetries were due to perceptual factors (e.g., perceptual priming effects). These findings suggest that asymmetrical switch costs can be brought about by the association of some tasks with greater difficulty than others. Moreover, the finding that asymmetrical switch costs were observed (1) in the absence of a task switch proper and (2) without differences in task difficulty, suggests that present theories of task switch costs and switch cost asymmetries are in important ways incomplete and need to be modified.
机译:任务转换成本通常表现出不对称性,当从困难的任务转换为较简单的任务时,转换成本会更大。这种不对称性已经通过更强烈地表示困难的任务来解释,因此在切换到较简单的任务之前需要更多的约束。本研究表明,在算术任务(加法与减法)中观察到的转换成本不对称性不依赖于任务难度:当参与者呈现出在任务难度上没有差异的不可解伪方程时,获得了相似量级的转换成本。进一步的实验表明,任务转换成本和转换成本的不对称性都不是由于感知因素(例如,感知启动效应)引起的。这些发现表明,某些任务的关联性比其他任务更大,可以带来不对称的转换成本。此外,发现不对称转换成本的发现(1)没有适当的任务转换,以及(2)在任务难度上没有差异,这表明当前的任务转换成本和转换成本不对称的理论在重要方面是不完整和需要的进行修改。

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