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视觉错觉感知对数量估计的影响可能在进化上是保守的:探索人类(智人)和鱼类(孔雀鱼)中的数字德勃夫错觉。

The influence of visual illusion perception on numerosity estimation could be evolutionarily conserved: exploring the numerical Delboeuf illusion in humans (Homo sapiens) and fish (Poecilia reticulata).

作者信息

Santacà Maria, Granziol Umberto

机构信息

Department of Biology, University of Padova, Viale Giuseppe Colombo 3 - Via Ugo Bassi 58/B, 35131, Padua, Italy.

Department of General Psychology, University of Padova, Padua, Italy.

出版信息

Anim Cogn. 2023 Jun;26(3):823-835. doi: 10.1007/s10071-022-01721-6. Epub 2022 Nov 27.

DOI:10.1007/s10071-022-01721-6
PMID:36436087
Abstract

Discriminating between different quantities is an essential ability in daily life that has been demonstrated in a variety of non-human vertebrates. Nonetheless, what drives the estimation of numerosity is not fully understood, as numerosity intrinsically covaries with several other physical characteristics. There is wide debate as to whether the numerical and spatial abilities of vertebrates are processed by a single magnitude system or two different cognitive systems. Adopting a novel approach, we aimed to investigate this issue by assessing the interaction between area size and numerosity, which has never been conceptualized with consideration for subjective experience in non-human animals. We examined whether the same perceptual biases underlying one of the best-known size illusions, the Delboeuf illusion, can be also identified in numerical estimation tasks. We instructed or trained human participants and guppies, small teleost fish, to select a target numerosity (larger or smaller) of squares between two sets that actually differed in their numerosity. Subjects were also presented with illusory trials in which the same numerosity was presented in two different contexts, against a large and a small background, resembling the Delboeuf illusion. In these trials, both humans and fish demonstrated numerical biases in agreement with the perception of the classical version of the Delboeuf illusion, with the array perceived as larger appearing more numerous. Thus, our results support the hypothesis of a single magnitude system, as perceptual biases that influence spatial decisions seem to affect numerosity judgements in the same way.

摘要

区分不同数量是日常生活中的一项基本能力,这已在多种非人类脊椎动物中得到证实。然而,驱动数量估计的因素尚未完全明确,因为数量本质上与其他几个物理特征相互关联。关于脊椎动物的数字和空间能力是由单一量级系统还是两个不同的认知系统处理,存在广泛的争论。我们采用一种新方法,旨在通过评估面积大小和数量之间的相互作用来研究这个问题,而在非人类动物中,从未结合主观体验来对这种相互作用进行概念化。我们研究了在数字估计任务中,是否也能识别出最著名的大小错觉之一——德勃夫错觉背后相同的感知偏差。我们指导或训练人类参与者和孔雀鱼(一种小型硬骨鱼),从两组实际数量不同的方块中选择目标数量(更大或更小)。还向受试者呈现了错觉试验,其中相同数量的方块在两种不同背景下呈现,一种是大背景,一种是小背景,类似于德勃夫错觉。在这些试验中,人类和鱼都表现出与经典版本德勃夫错觉的感知一致的数字偏差,即被视为更大的阵列看起来数量更多。因此,我们的结果支持单一量级系统的假设,因为影响空间决策的感知偏差似乎以相同方式影响数量判断。

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The Challenge of Illusory Perception of Animals: The Impact of Methodological Variability in Cross-Species Investigation.动物错觉感知的挑战:跨物种研究中方法学变异性的影响。
Animals (Basel). 2021 May 30;11(6):1618. doi: 10.3390/ani11061618.
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How We See Area and Why It Matters.我们如何看待区域以及为什么这很重要。
Trends Cogn Sci. 2021 Jul;25(7):554-557. doi: 10.1016/j.tics.2021.03.017. Epub 2021 May 4.
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Perception of the Müller-Lyer illusion in guppies.孔雀鱼对缪勒-莱尔错觉的感知。
Curr Zool. 2020 Apr;66(2):205-213. doi: 10.1093/cz/zoz041. Epub 2019 Sep 3.
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Two halves are less than the whole: Evidence of a length bisection bias in fish (Poecilia reticulata).两半之和小于整体:鱼类(孔雀鱼)二分长度偏倚的证据。
PLoS One. 2020 May 14;15(5):e0233157. doi: 10.1371/journal.pone.0233157. eCollection 2020.
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Everything is subjective under water surface, too: visual illusions in fish.水下的一切都是主观的:鱼类的视觉错觉。
Anim Cogn. 2020 Mar;23(2):251-264. doi: 10.1007/s10071-019-01341-7. Epub 2020 Jan 2.
6
Guppies, Poecilia reticulata, perceive a reversed Delboeuf illusion.孔雀鱼(Poecilia reticulata)会感知到一种颠倒的德勃夫错觉。
Anim Cogn. 2019 May;22(3):291-303. doi: 10.1007/s10071-019-01237-6. Epub 2019 Mar 8.
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Visual illusions help reveal the primitives of number perception.视觉错觉有助于揭示数量感知的基本原理。
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The effect of clustering on perceived quantity in humans (Homo sapiens) and in chicks (Gallus gallus).聚类对人类(智人)和雏鸡(原鸡)感知数量的影响。
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Glimpse of ATOM in non-human species?
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