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Challenge and error: Critical events and attention-related errors

机译:挑战与错误:重大事件和与注意力相关的错误

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Attention lapses resulting from reactivity to task challenges and their consequences constitute a pervasive factor affecting everyday performance errors and accidents. A bidirectional model of attention lapses (error ? attention-lapse: Cheyne, Solman, Carriere, & Smilek, 2009) argues that errors beget errors by generating attention lapses; resource-depleting cognitions interfering with attention to subsequent task challenges. Attention lapses lead to errors, and errors themselves are a potent consequence often leading to further attention lapses potentially initiating a spiral into more serious errors. We investigated this challenge-induced error ? attention-lapse model using the Sustained Attention to Response Task (SART), a GO-NOGO task requiring continuous attention and response to a number series and withholding of responses to a rare NOGO digit. We found response speed and increased commission errors following task challenges to be a function of temporal distance from, and prior performance on, previous NOGO trials. We conclude by comparing and contrasting the present theory and findings to those based on choice paradigms and argue that the present findings have implications for the generality of conflict monitoring and control models.
机译:对任务挑战的反应性导致的注意力下降及其后果构成了影响日常绩效错误和事故的普遍因素。注意力下降的双向模型(错误?注意力下降:Cheyne,Solman,Carriere和&Smilek,2009年)认为,错误通过产生注意力下降而产生错误。资源枯竭的认知干扰了对后续任务挑战的关注。注意流失会导致错误,而错误本身就是潜在的后果,通常会导致进一步的注意流失,从而有可能引发更严重的错误。我们调查了此挑战引起的错误?使用“持续注意响应任务”(SART)的注意力下降模型,这是一个GO-NOGO任务,需要持续关注并响应数字序列,并保留对稀有NOGO数字的响应。我们发现任务挑战后的响应速度和增加的佣金错误是与以前的NOGO试验之间的时间距离和先前性能的函数。我们通过将当前的理论和发现与基于选择范式的理论和发现进行对比和比较得出结论,并认为当前的发现对冲突监控模型的普遍性有影响。

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