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快速对动物和人造物体进行分类选择:一项 N2pc 研究。

Rapid category selectivity for animals versus man-made objects: An N2pc study.

机构信息

Department of Psychology, University of California, Riverside, United States of America.

INSERM, U992, Cognitive Neuroimaging Unit, Gif/Yvette, France.

出版信息

Int J Psychophysiol. 2022 Jan;171:20-28. doi: 10.1016/j.ijpsycho.2021.11.004. Epub 2021 Nov 29.

DOI:10.1016/j.ijpsycho.2021.11.004
PMID:34856220
Abstract

Visual recognition occurs rapidly at multiple categorization levels, including the superordinate level (e.g., animal), basic level (e.g., cat), or exemplar level (e.g., my cat). Visual search for animals is faster than for man-made objects, even when the images from those categories have comparable gist statistics (i.e., low- or mid-level visual information), which suggests that higher-level, conceptual influences may support this search advantage for animals. However, it remains unclear whether the search advantage can be explained in part by early visual search processes via the N2pc ERP component, which emerges earlier than behavioral responses, across different categorization levels. Participants searched for 1) an exact image (e.g., a specific squirrel image, Exemplar-level Search), 2) any images of an item (e.g., any squirrels, Basic-level Search), or 3) any items in a category (e.g., any animals, Superordinate-level Search). In addition to Target Present trials, Foil trials measured involuntary attentional selection of task-irrelevant images related to the targets (e.g., other squirrel images when searching for a specific squirrel image, or other animals when searching for squirrels). ERP results revealed 1) a larger N2pc amplitude during Foil trials in Exemplar-level Search for animals than man-made objects, and 2) faster onset latencies for animal search than man-made object search across all categorization levels. These results suggest that the search advantage for animals over man-made objects emerges early, and that attentional selection is more biased toward the basic-level (e.g., squirrel) for animals than for man-made objects during visual search.

摘要

视觉识别可以在多个分类水平上快速进行,包括超类别水平(例如,动物)、基本类别水平(例如,猫)或范例类别水平(例如,我的猫)。对动物的视觉搜索比对人造物体的搜索更快,即使这些类别中的图像具有可比的要点统计信息(即低或中级视觉信息),这表明更高层次的概念影响可能支持这种对动物的搜索优势。然而,目前尚不清楚这种搜索优势是否可以部分通过 N2pc ERP 成分的早期视觉搜索过程来解释,该成分在不同的分类水平上比行为反应更早出现。参与者搜索 1)确切的图像(例如,特定松鼠的图像,范例类别水平搜索)、2)物品的任何图像(例如,任何松鼠,基本类别水平搜索)或 3)类别中的任何物品(例如,任何动物,超类别水平搜索)。除了目标出现试验外,干扰试验还测量了与目标相关的任务无关图像的无意识注意力选择(例如,在搜索特定松鼠图像时选择其他松鼠图像,或在搜索松鼠时选择其他动物)。ERP 结果显示 1)在动物的范例类别水平搜索中,干扰试验的 N2pc 振幅比人造物体的 N2pc 振幅更大,2)在所有分类水平上,动物搜索的起始潜伏期比人造物体搜索的起始潜伏期更快。这些结果表明,对动物的搜索优势比人造物体更早出现,并且在视觉搜索期间,注意力选择对动物(例如,松鼠)比对人造物体的基本类别(例如,松鼠)更具偏向性。

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