Influences of cognitive control on number processing: New evidence from switching between two numerical tasks

数字认知 认知 信息处理 刺激(心理学) 数量适应效应 奇偶性(物理) 认知心理学 心理学 工作记忆 计算机科学 算术 数学 神经科学 物理 粒子物理学
作者
Andreas Schliephake,Julia Bahnmueller,Iring Koch,Klaus Willmes,Korbinian Moeller
出处
期刊:Quarterly Journal of Experimental Psychology [SAGE Publishing]
卷期号:76 (11): 2514-2523
标识
DOI:10.1177/17470218231154155
摘要

A growing body of research suggests that basic numerical abilities such as number magnitude and number parity processing are influenced by cognitive control. So far, however, evidence for number processing being influenced by cognitive control came primarily from observed adaptations to stimulus set characteristics (e.g., ratio or order of specific stimulus types) and switches between a numerical and non-numerical task. Complementing this previous research, the present study employed a task switching paradigm exclusively involving numerical tasks (i.e., magnitude comparisons and parity judgements) to examine how cognitive control processes influence number processing. Participants were presented with a single-digit number and had to either judge its parity or compare its magnitude with a standard of 5, depending on a preceding cue. Based on previous results, we expected the numerical distance effect and the spatial-numerical association of response codes (SNARC) effect to be modulated in switch trials requiring the exertion of cognitive control. Partly in line with our expectations, the numerical distance effect was reduced in switch trials. However, no modulation of the SNARC effect was observed. The results pattern suggests that number processing is influenced by cognitive control, depending on task requirements and the type of numerical information (i.e., numerical magnitude vs spatial association of numbers) that is processed. To reconcile the present and previous results, we propose an information prioritisation account, suggesting that cognitive control primarily influences the processing of the information type that requires the most explicit processing.

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