Flexible weighting of target features based on distractor context.
Flexible weighting of target features based on distractor context.
复制标题
DOI：
10.3758/s13414-019-01910-5
复制
发表时间：
2020-03
期刊：
影响因子：
--
通讯作者：
Geng JJ
中科院分区：
文献类型：
--
作者：
Lee J;Geng JJ
注意优先模型是通过对特征选择图的显著性和相关性信号进行求和来建立的。维度加权账户进一步假设来自每个特征选择图的信息基于每个维度的信息量的期望而加权。在目前的研究中，我们调查的问题，是否注意偏见的特点，一个连接目标（颜色和方向）不同时，一个维度，预计将更多的诊断目标。在一系列的颜色方向的连接搜索任务，观察员看到了一个确切的提示即将到来的目标，而分散注意力的概率在每个维度上共享一个目标的功能被操纵。在一种情况下，分心物更有可能共享目标颜色，而在另一种情况下，分心物更有可能共享目标方向。结果表明，尽管对颜色的整体偏见，注意力的优先级，每个目标功能灵活地调整，根据干扰上下文：RT和准确性的表现是更好的诊断功能时，预期比意外。这种情况发生在干扰物的背景下，学习隐式和显式。这些结果表明，基于特征的增强可以选择性地发生的尺寸预期是最翔实的区分目标干扰。
Models of attention posit that attentional priority is established by summing the saliency and relevancy signals from feature-selective maps. The dimension-weighting account further hypothesizes that information from each feature-selective map is weighted based on expectations of how informative each dimension will be. In the current studies, we investigated the question of whether attentional biases to the features of a conjunction target (color and orientation) differ when one dimension is expected to be more diagnostic of the target. In a series of color-orientation conjunction search tasks, observers saw an exact cue for the upcoming target, while the probability of distractors sharing a target feature in each dimension was manipulated. In one context, distractors were more likely to share the target color, and in another, distractors were more likely to share the target orientation. The results indicated that despite an overall bias toward color, attentional priority to each target feature was flexibly adjusted according to distractor context: RT and accuracy performance was better when the diagnostic feature was expected than unexpected. This occurred both when the distractor context was learned implicitly and explicitly. These results suggest that feature-based enhancement can occur selectively for the dimension expected to be most informative in distinguishing the target from distractors.