Department of Psychological Sciences.
J Exp Psychol Hum Percept Perform. 2019 Sep;45(9):1191-1205. doi: 10.1037/xhp0000666. Epub 2019 Jun 3.
Representations of target-defining features (attentional templates) control the allocation of attention during visual search. We investigated whether template-guided attentional selectivity is sensitive not only to the relevance of visual features, but also to expectations about their probability. Search displays could contain a target in an expected (80%) or unexpected (20%) color. They were preceded by spatially uninformative cues that matched either the expected or unexpected target color. These color cues attracted attention, reflected by behavioral spatial cueing effects and by cue-elicited N2pc components obtained via EEG measured during task performance. Critically, these attentional capture effects were identical for both color cues, suggesting that preparatory attentional templates only reflect relevance, and are insensitive to expectations about target color probabilities. In contrast, RTs and N2pc components to search targets in the unexpected color were delayed, showing that expectations modulated the speed of attentional target selection within search displays. This dissociation between the effects of relevance and expectation on attentional preparation versus target selection suggests that these 2 parameters for attentional control are represented differently. Task relevance is likely to be specified at the level of individual features, whereas expectations could be represented in an object-based fashion. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
目标定义特征(注意模板)的表示控制着视觉搜索过程中的注意力分配。我们研究了模板引导的注意力选择性不仅对视觉特征的相关性敏感,而且对其概率的期望也敏感。搜索显示可以包含在预期(80%)或意外(20%)颜色中的目标。它们之前是空间上无信息的线索,与预期或意外的目标颜色匹配。这些颜色线索吸引了注意力,这反映在行为空间线索效应和通过 EEG 在任务执行过程中测量的线索诱发的 N2pc 成分中。关键的是,这两种颜色线索的注意力捕获效应是相同的,这表明预备性注意力模板仅反映相关性,并且对目标颜色概率的期望不敏感。相比之下,在意外颜色中搜索目标的 RTs 和 N2pc 成分延迟,表明期望在搜索显示中调节了注意力目标选择的速度。这种关于注意力准备与目标选择的相关性和期望的影响之间的分离表明,注意力控制的这两个参数以不同的方式表示。任务相关性可能在单个特征的水平上指定,而期望则可以以基于对象的方式表示。(PsycINFO 数据库记录(c)2019 APA,保留所有权利)。