Disentangling the contributions of spatiotopic, retinotopic, and configural frames of reference to the filtering of probable distractor locations.

IF 2.1 3区 心理学 Q2 PSYCHOLOGY
Ryan S Williams, Susanne Ferber, Jay Pratt
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引用次数: 0

Abstract

Human observers can allocate their attention to locations likely to contain a target and can also learn to avoid locations likely to contain a salient distractor during visual search. However, it is unclear which spatial frame of reference such learning is applied to. As such, our aim was to systematically disentangle the contributions of spatiotopic, retinotopic, and configural frames of reference to provide a comprehensive account of how the probabilistic distractor filtering effect comes about. We first demonstrate that the filtering effect is better determined by the probability of a salient distractor appearing at a relative location (i.e., in relation to one's eye position or an item's position in relation to other items within a display) rather than a fixed (spatiotopic) location, by varying the position of visual search arrays (along with fixation) across spatial contexts. We then separate retinotopic and configural reference frames by varying the configural but not retinotopic properties of biased (i.e., displays containing a probable distractor location) and unbiased visual search arrays and vice versa. In doing so, we find the filtering effect to be restricted to biased contexts when retinotopic positions are maintained, but configural properties are varied. In contrast, when the configural properties of visual search arrays are maintained, we show the transfer of the filtering effect across retinotopic positions. Thus, we demonstrate that probabilistic distractor filtering primarily emerges via a configural representation that codes the relative positions of items within search displays independent of spatiotopic and retinotopic coordinates. (PsycInfo Database Record (c) 2025 APA, all rights reserved).

人类观察者可以在视觉搜索过程中将注意力分配到可能包含目标的位置,也可以学会避开可能包含突出干扰物的位置。然而,目前还不清楚这种学习适用于哪个空间参照系。因此,我们的目的是系统地拆分空间参照系、视网膜参照系和构型参照系的贡献,以全面说明概率性分心物过滤效应是如何产生的。我们首先通过改变视觉搜索阵列的位置(以及定点)来证明,过滤效应最好是由突出的分心物出现在相对位置(即与人眼位置的关系,或一个项目与显示屏中其他项目的位置关系)而非固定(空间)位置的概率来决定的。然后,我们通过改变有偏差(即包含可能分心者位置的显示)和无偏差视觉搜索阵列的构型而非视网膜属性,将视网膜参照框架和构型参照框架分开,反之亦然。在此过程中,我们发现当视网膜位置保持不变,但构型属性发生变化时,过滤效应仅限于有偏差的情境。相反,当视觉搜索阵列的配置属性保持不变时,我们发现过滤效应会在视网膜位置之间发生转移。因此,我们证明了概率性分心过滤主要是通过构型表征出现的,这种表征对搜索显示中项目的相对位置进行编码,而与空间坐标和视网膜坐标无关。(PsycInfo Database Record (c) 2025 APA, 版权所有)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.50
自引率
9.50%
发文量
145
审稿时长
4-8 weeks
期刊介绍: The Journal of Experimental Psychology: Human Perception and Performance publishes studies on perception, control of action, perceptual aspects of language processing, and related cognitive processes.
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