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受信息驱动:斯特鲁普效应的构造理论

Driven by information: a tectonic theory of Stroop effects.

作者信息

Melara Robert D, Algom Daniel

机构信息

Department of Psychological Sciences, Purdue University, West Lafayette, Indiana 47907-1364, USA.

出版信息

Psychol Rev. 2003 Jul;110(3):422-71. doi: 10.1037/0033-295x.110.3.422.

Abstract

The goal of avoiding distraction (e.g., ignoring words when naming their print colors in a Stroop task) is opposed intrinsically by the penchant to process conspicuous and correlated characteristics of the environment (e.g., noticing trial-to-trial associations between the colors and the words). To reconcile these opposing forces, the authors propose a tectonic theory of selective attention in which 2 memory-based structures--dimensional imbalance and dimensional uncertainty--drive selection by processing salient, surprising, and/or correlated information contained within and across stimulus dimensions. Each structure modulates the buildup of excitation to targets and the buildup of inhibition to distractors and to memories of previous stimuli. Tectonic theory is implemented to simulate the impact of 4 types of context on the presence, magnitude, and direction of congruity effects and task effects in the Stroop paradigm. The tectonic model is shown to surpass other formal models in explaining the range and diversity of Sroop effects.

摘要

避免分心的目标(例如,在斯特鲁普任务中说出单词印刷颜色时忽略单词)本质上与处理环境中显著且相关特征的倾向(例如,注意颜色和单词之间的逐次试验关联)相对立。为了协调这些相互对立的力量,作者提出了一种选择性注意的构造理论,其中基于记忆的两种结构——维度失衡和维度不确定性——通过处理刺激维度内和跨维度的显著、惊人及/或相关信息来驱动选择。每种结构调节对目标的兴奋积累以及对干扰物和先前刺激记忆的抑制积累。构造理论被用于模拟四种类型的情境对斯特鲁普范式中一致性效应和任务效应的存在、大小及方向的影响。结果表明,构造模型在解释斯特鲁普效应的范围和多样性方面优于其他形式模型。

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