Feature Integration Theory Revisited: Dissociating Feature Detection and Attentional Guidance in Visual Search
Feature Integration Theory Revisited: Dissociating Feature Detection and Attentional Guidance in Visual Search
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DOI：
10.1037/0096-1523.35.1.119
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发表时间：
2009-02-01
影响因子：
2.1
通讯作者：
Hayward, William G.
中科院分区：
文献类型：
--
作者：
Chan, Louis K. H.;Hayward, William G.
在特征集成理论（FIT; A. Treisman & S. Sato，1990），特征检测由独立的维度模块驱动，其他搜索由将维度信息集成到显著性信号中的位置主图驱动。尽管最近的理论模型在很大程度上放弃了这种区分。在没有它的情况下，一些观察到的结果很难解释。本研究测量的检测和定位，任务，需要操作的维度模块和主地图，分别尺寸特定的性能。结果表明，任务之间的分离维度转换成本和跨维度的注意捕获，反映了维度的特定性质的检测任务和维度的一般性质的本地化任务。在一个特征辨别任务中。结果排除了基于响应模式的解释。这些结果被解释为支持FIT的假设，不同的机制参与了平行和焦点注意搜索。这表明，FIT架构应被采用来解释目前的结果，并在此框架内，可以解决各种视觉注意的结果。
In feature integration theory (FIT; A. Treisman & S. Sato, 1990), feature detection is driven by independent dimensional modules, and other searches are driven by a master map of locations that integrates dimensional information into salience signals. Although recent theoretical models have largely abandoned this distinction. some observed results are difficult to explain in its absence. The present study measured dimension-specific performance during detection and localization, task,; that require operation of dimensional modules and the master map, respectively. Results showed a dissociation between tasks in terms of both dimension-switching costs and cross-dimension attentional capture, reflecting a dimension-specific nature for detection tasks and a dimension-general nature for localization tasks. In a feature-discrimination task. results precluded an explanation based on response mode. These results are interpreted to support FIT's postulation that different mechanisms are involved in parallel and focal attention searches. This indicates that the FIT architecture should be adopted to explain the current results and that a variety of visual attention findings can be addressed within this framework.