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生成用于视觉辨别空间线索注意的分类法:判断精度和集合大小对注意的影响。

Generating a taxonomy of spatially cued attention for visual discrimination: effects of judgment precision and set size on attention.

作者信息

Hetley Richard, Dosher Barbara Anne, Lu Zhong-Lin

机构信息

Department of Cognitive Sciences, University of California, Irvine, CA, 92697-5100, USA.

出版信息

Atten Percept Psychophys. 2014 Nov;76(8):2286-304. doi: 10.3758/s13414-014-0705-4.

Abstract

Attention precues improve the performance of perceptual tasks in many but not all circumstances. These spatial attention effects may depend upon display set size or workload, and have been variously attributed to external noise filtering, stimulus enhancement, contrast gain, or response gain, or to uncertainty or other decision effects. In this study, we document systematically different effects of spatial attention in low- and high-precision judgments, with and without external noise, and in different set sizes in order to contribute to the development of a taxonomy of spatial attention. An elaborated perceptual template model (ePTM) provides an integrated account of a complex set of effects of spatial attention with just two attention factors: a set-size dependent exclusion or filtering of external noise and a narrowing of the perceptual template to focus on the signal stimulus. These results are related to the previous literature by classifying the judgment precision and presence of external noise masks in those experiments, suggesting a taxonomy of spatially cued attention in discrimination accuracy.

摘要

注意提示在许多但并非所有情况下都能提高感知任务的表现。这些空间注意效应可能取决于显示集大小或工作量,并且被不同地归因于外部噪声过滤、刺激增强、对比度增益或反应增益,或者不确定性或其他决策效应。在本研究中,我们系统地记录了在有和没有外部噪声的情况下,以及在不同集大小下,空间注意在低精度和高精度判断中的不同效应,以便为空间注意分类法的发展做出贡献。一个精细的感知模板模型(ePTM)仅用两个注意因素就对空间注意的一组复杂效应提供了一个综合解释:与集大小相关的外部噪声排除或过滤,以及感知模板的缩小以聚焦于信号刺激。通过对那些实验中的判断精度和外部噪声掩蔽的存在进行分类,这些结果与先前的文献相关,从而提出了在辨别准确性方面空间线索注意的分类法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0cd/4927301/08f3d7378dc8/nihms606310f1.jpg

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