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The semantic aftermath of distraction by deviant sounds: Crosstalk interference is mediated by the predictability of semantic congruency

机译:异常声音分散注意力的语义后果:串扰干扰由语义一致性的可预测性介导

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摘要

Rare changes in a stream of otherwise repeated task-irrelevant sounds break through selective attention and disrupt performance in an unrelated visual task. This deviance distraction effect emerges because deviant sounds violate the cognitive system's predictions. In this study we sought to examine whether predictability also mediate the so-called semantic effect whereby behavioral performance suffers from the clash between the involuntary semantic evaluation of irrelevant sounds and the voluntary processing of visual targets (e.g., when participants must categorize a right visual arrow following the presentation of the deviant sound "left"). By manipulating the conditional probabilities of the congruent and incongruent deviant sounds in a left/right arrow categorization task, we elicited implicit predictions about the upcoming target and related response. We observed a linear increase of the semantic effect with the proportion of congruent deviant trials (i.e., as deviant sounds increasingly predicted congruent targets). We conclude that deviant sounds affect response times based on a combination of crosstalk interference and two types of prediction violations: stimulus violations (violations of predictions regarding the identity of upcoming irrelevant sounds) and semantic violations (violations of predictions regarding the target afforded by deviant sounds). We report a three-parameter model that captures all key features of the observed RTs. Overall, our results fit with the view that the brain builds forward models of the environment in order to optimize cognitive processing and that control of one's attention and actions is called upon when predictions are violated.
机译:重复出现的与任务无关的声音流中的罕见变化会突破选择性的注意力,并破坏无关的视觉任务的性能。之所以会出现这种偏离注意力的效果,是因为异常声音违反了认知系统的预测。在这项研究中,我们试图检验可预测性是否还介导了所谓的语义效应,从而行为表现遭受了不相关声音的非自愿语义评估与视觉目标的自愿处理之间的冲突(例如,当参与者必须将正确的视觉箭头归类时)在出现异常声音“左”之后)。通过在左/右箭头分类任务中处理一致和不一致的异常声音的条件概率,我们得出了有关即将到来的目标和相关响应的隐式预测。我们观察到语义效果随同等越轨测试的比例呈线性增加(即越变声音越来越多地预测了同等目标)。我们得出结论,异常声音基于串扰和两种类型的预测违例的组合而影响响应时间:刺激违例(与即将到来的无关声音的标识有关的预测违背)和语义违例(与异常声音所提供的目标有关的预测违背) )。我们报告了一个三参数模型,该模型捕获了观察到的RT的所有关键特征。总体而言,我们的结果符合以下观点:大脑建立环境的前向模型以优化认知过程,并在违反预测时要求控制人的注意力和行为。

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