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一种用于绘制视觉空间中感知偏差的新方法。

A new method for mapping perceptual biases across visual space.

作者信息

Finlayson Nonie J, Papageorgiou Andriani, Schwarzkopf D Samuel

机构信息

Experimental Psychology, University College London, London, United Kingdom.

Institute of Cognitive Neuroscience, University College London, London, United Kingdom.

出版信息

J Vis. 2017 Aug 1;17(9):5. doi: 10.1167/17.9.5.

DOI:10.1167/17.9.5
PMID:28800367
Abstract

How we perceive the environment is not stable and seamless. Recent studies found that how a person qualitatively experiences even simple visual stimuli varies dramatically across different locations in the visual field. Here we use a method we developed recently that we call multiple alternatives perceptual search (MAPS) for efficiently mapping such perceptual biases across several locations. This procedure reliably quantifies the spatial pattern of perceptual biases and also of uncertainty and choice. We show that these measurements are strongly correlated with those from traditional psychophysical methods and that exogenous attention can skew biases without affecting overall task performance. Taken together, MAPS is an efficient method to measure how an individual's perceptual experience varies across space.

摘要

我们对环境的感知并非稳定且无缝的。最近的研究发现,即使是简单的视觉刺激,一个人在质的体验上如何因视野中不同位置而有显著差异。在此,我们使用一种我们最近开发的方法,我们称之为多选项知觉搜索(MAPS),以有效地绘制跨多个位置的这种知觉偏差。这个程序可靠地量化了知觉偏差的空间模式以及不确定性和选择。我们表明,这些测量结果与传统心理物理学方法的测量结果高度相关,并且外源性注意可以使偏差倾斜而不影响整体任务表现。综上所述,MAPS是一种测量个体知觉体验如何随空间变化的有效方法。

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