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人类对人造物体的感知偏差。

A perceptual bias for man-made objects in humans.

机构信息

School of Psychology, University of Nottingham Malaysia, Semenyih 43500, Malaysia.

School of Biological and Chemical Sciences, Queen Mary University of London, Mile End Road, London E1 4NS, UK.

出版信息

Proc Biol Sci. 2019 Nov 6;286(1914):20191492. doi: 10.1098/rspb.2019.1492.

Abstract

Ambiguous images are widely recognized as a valuable tool for probing human perception. Perceptual biases that arise when people make judgements about ambiguous images reveal their expectations about the environment. While perceptual biases in early visual processing have been well established, their existence in higher-level vision has been explored only for faces, which may be processed differently from other objects. Here we developed a new, highly versatile method of creating ambiguous hybrid images comprising two component objects belonging to distinct categories. We used these hybrids to measure perceptual biases in object classification and found that images of man-made (manufactured) objects dominated those of naturally occurring (non-man-made) ones in hybrids. This dominance generalized to a broad range of object categories, persisted when the horizontal and vertical elements that dominate man-made objects were removed and increased with the real-world size of the manufactured object. Our findings show for the first time that people have perceptual biases to see man-made objects and suggest that extended exposure to manufactured environments in our urban-living participants has changed the way that they see the world.

摘要

模棱两可的图像被广泛认为是探究人类感知的一种有价值的工具。当人们对模棱两可的图像做出判断时,所产生的感知偏差揭示了他们对环境的期望。虽然早期视觉处理中的感知偏差已经得到充分证实,但在高级视觉中,只有在处理人脸时才会出现这种偏差,因为人脸与其他物体的处理方式可能不同。在这里,我们开发了一种新的、非常通用的方法来创建由属于不同类别的两个组成对象组成的模棱两可的混合图像。我们使用这些混合图像来衡量物体分类中的感知偏差,发现人造(制造)物体的图像在混合图像中主导了自然发生(非人造)物体的图像。这种主导地位适用于广泛的物体类别,即使去除主导人造物体的水平和垂直元素,这种主导地位仍然存在,并且随着人造物体的实际尺寸的增加而增加。我们的发现首次表明,人们对人造物体存在感知偏差,并表明我们在城市生活的参与者中对制造环境的长期接触改变了他们看待世界的方式。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b615/6842849/3e2ef6a5e81e/rspb20191492-g1.jpg

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