Feature-based attentional interference revealed in perceptual errors and lags
Feature-based attentional interference revealed in perceptual errors and lags
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DOI：
10.1016/j.visres.2012.04.021
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发表时间：
2012-06-15
期刊：
影响因子：
1.8
通讯作者：
Holcombe, Alex O.
中科院分区：
文献类型：
--
作者：
Lo, Shih-Yu;Howard, Christina J.;Holcombe, Alex O.
根据特征注意力的有限资源解释，通过基于不同特征选择目标来划分特征注意力会削弱其能力。多功能成本以前已经记录在案，但不清楚多功能成本是否出现在有限资源账户预测的选择（将目标与非目标分离）阶段。费用可能是由于选定后在处理或获取目标内容方面遇到困难。通过使用与参与者必须访问和报告的属性（空间周期）非常不同的选择属性（颜色）来定义目标，我们能够独立于访问阶段来操纵选择过程。我们仍然发现了不同选择特征（颜色）的成本，这表明多特征成本可能会在选择阶段出现。然而，只有当干扰物存在时，成本才显着共享选择功能。成本不仅表现为更大的错误或更少的精度在报告的访问属性（空间周期），但也作为一个物理刺激和报告的记忆之间的时间滞后增加。总之，在不同特征之间分割选择本身很少或没有产生惩罚，但是共享目标特征的干扰项的选择干扰可能很大并且可能会减慢处理。(C)2012爱思唯尔有限公司保留所有权利。
According to a limited-resource account of feature-based attention, dividing feature-based attention by selecting targets on the basis of different features dilutes its power. Multiple-feature costs have been documented previously, but it is not clear whether the multiple-feature cost arose at the selection (segregating targets from non-targets) stage predicted by the limited-resource account. The cost might instead result from a post-selection difficulty in processing or accessing the contents of the targets. By defining the targets with a selection attribute (color) that is very distinct from the attribute participants must access and report (spatial period), we were able to manipulate the selection process independently from the access stage. We still found a cost for different selection features (colors), suggesting that multiple-feature costs can arise at the selection stage. The cost was only significant however when distracters were present that shared the selection features. The cost manifested not only as greater errors or less precision in reporting the access attribute (spatial period), but also as an increased temporal lag between the physical stimuli and the reported percept. In summary, splitting selection among different features incurred little or no penalty by itself, but selection interference by distracters sharing target features could be large and could slow processing. (C) 2012 Elsevier Ltd. All rights reserved.