Fachbereich Psychologie, Eberhard Karls Universität Tübingen, Tübingen, Germany.
Q J Exp Psychol (Hove). 2024 May;77(5):1023-1043. doi: 10.1177/17470218231201476. Epub 2023 Oct 24.
Although the relation between congruent and incongruent conditions in conflict tasks has been the primary focus of cognitive control studies, the neutral condition is often set as a baseline directly between the two conditions. However, empirical evidence suggests that the average neutral reaction time (RT) is not placed evenly between the two opposing conditions. This article set out to establish two things: First, to reinforce the informative nature of the neutral condition and second, to highlight how it can be useful for modelling. We explored how RT in the neutral condition of conflict tasks (Stroop, Flanker, and Simon Tasks) deviated from the predictions of current diffusion models. Current diffusion models of conflict tasks predict a neutral RT that is the average of the congruent and incongruent RT, called the midpoint assumption. To investigate this, we first conducted a cursory limited search that recorded the average RT's of conflict tasks with neutral conditions. Upon finding evidence of a midpoint assumption violation which showed a larger disparity between average neutral and incongruent RT, we tested the previously mentioned conflict tasks with two different sets of stimuli to establish the robustness of the effect. The midpoint assumption violation is sometimes inconsistent with the prediction of diffusion models of conflict processing (e.g., the Diffusion Model of Conflict), suggesting possible elaborations of such models.
虽然在冲突任务中一致和不一致条件之间的关系一直是认知控制研究的主要焦点,但中性条件通常直接作为两个条件之间的基线。然而,实证证据表明,平均中性反应时间 (RT) 并不均匀地分布在两个相反的条件之间。本文旨在实现两件事:第一,加强中性条件的信息性质,第二,突出其在建模方面的作用。我们探讨了冲突任务(Stroop、Flanker 和 Simon 任务)中的中性条件的 RT 如何偏离当前扩散模型的预测。当前的冲突任务扩散模型预测中性 RT 是一致和不一致 RT 的平均值,称为中点假设。为了研究这一点,我们首先进行了一次粗略的有限搜索,记录了具有中性条件的冲突任务的平均 RT。在发现违反中点假设的证据表明平均中性和不一致 RT 之间存在更大的差异后,我们使用两组不同的刺激物测试了上述冲突任务,以确定该效应的稳健性。中点假设违反有时与冲突处理的扩散模型的预测不一致(例如,冲突扩散模型),这表明对这些模型的可能改进。