是什么让不同的数空映射相互影响?

Arnaud Viarouge, Maria Dolores de Hevia
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摘要

数字认知模型认为视觉空间表征是数字处理的核心,即 "心理数字线"。数字和空间之间有两种主要的干扰效应:SNARC 效应反映了小数字/左侧和大数字/右侧的关联(数字-位置映射);大小一致效应(SCE)反映了小数字/小尺寸和大数字/大尺寸的关联(数字-尺寸映射)。重要的是,目前还缺乏对这两种数-空间映射的表征来源的深入研究,因此这两种现象的表征是否相同的问题仍有待解决。在此,我们以最近的一项研究(Viarouge 和 de Hevia,发表于 Front Hum Neurosci 15:750964, 2021)为基础,通过三项实验来解决这一问题,系统地操纵了可能引起 SNARC 和 SCE 之间相互作用的两个条件:(i) 数字和空间信息与任务无关的内隐任务,(ii) 两个映射的数空一致性在同一水平上变化的设计--无论是在区块内还是在区块之间。实验 1 复制了两个因素同时存在时两种映射之间的相互作用。实验 2 和实验 3 通过在同一水平上改变两种映射,但使用显性比较任务(实验 2),或使用隐性任务但映射在不同水平上变化(实验 3),将两个因素分离开来。我们发现,这两个因素,无论是结合使用还是单独使用,都会驱动两个数空映射之间的相互作用。这些发现将根据每个映射所占的权重进行讨论,这表明当任务要求赋予两个映射同等权重时,包含两个数空间映射的单一表征就会被激活。
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What makes different number-space mappings interact?

Models of numerical cognition consider a visuo-spatial representation to be at the core of numerical processing, the ‘mental number line’. Two main interference effects between number and space have been described: the SNARC effect reflects a small number/left side and large number/right side association (number-location mapping); the size-congruity effect (SCE) reflects a small number/small size and large number/large size association (number-size mapping). Critically, a thorough investigation on the representational source for these two number-space mappings is lacking, leaving open the question of whether the same representation underlies both phenomena. Here, we build on a recent study (Viarouge and de Hevia in Front Hum Neurosci 15:750964, 2021) in order to address this question in three experiments, by systematically manipulating the presence of the two conditions that might elicit an interaction between SNARC and SCE: (i) an implicit task whereby numerical and spatial information are task-irrelevant, (ii) a design in which the number-space congruency relative to both mappings vary at the same level -either both within or between blocks. Experiment 1 replicated the interaction between the two mappings when both factors were present. Experiments 2 and 3 dissociated the two factors by varying the two mappings at the same level but using an explicit comparison task (Experiment 2), or by using an implicit task but with mappings varying at different levels (Experiment 3). We found that both factors, either in combination or used in isolation, drive the interaction between the two number-space mappings. These findings are discussed in terms of the weight given to each mapping, suggesting that a single representation encompassing both number-space mappings is therefore activated whenever both mappings are given equal weight through task requirements.

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