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Updated: Jan 19, 2026
Studying Language Processing: the N400 in Semantic Incongruity
Published on: April 30, 2023
Semantic associations between arithmetic and space: Evidence from temporal order judgements.
Michael Andres1,2, Samuel Salvaggio1,2, Nathalie Lefèvre1,3
1Psychological Sciences Research Institute, Université catholique de Louvain, Place Cardinal Mercier, 10, B-1348, Louvain-la-Neuve, Belgium.
Spatial biases in solving addition or subtraction problems arise from semantic associations with operators, not attention shifts. This finding impacts understanding numerical cognition and spatial attention.
Area of Science:
- Cognitive Psychology
- Neuroscience
- Experimental Psychology
Background:
- Spatial biases in arithmetic are often attributed to attention shifts along a mental number line.
- An alternative hypothesis suggests semantic associations between operators (plus/minus) and spatial locations influence responses.
Purpose of the Study:
- To investigate whether spatial biases in arithmetic tasks stem from attention orienting or semantic associations.
- To differentiate between the attention-orienting and semantic accounts of spatial biases in numerical cognition.
Main Methods:
- Temporal order judgment experiments involving auditory presentation of addition/subtraction problems.
- Lateralized visual targets presented shortly after arithmetic problems.
- Participants reported the order (first/last) of lateralized targets to dissociate attention from response side.
Main Results:
- Results from three experiments consistently supported the semantic association hypothesis.
- Spatial biases were observed regardless of whether participants focused on the first or last presented target.
- Evidence indicated that arithmetic operations bias responses based on learned semantic associations.
Conclusions:
- Spatial biases in arithmetic tasks are primarily driven by semantic associations between operators and spatial locations.
- The findings challenge the prevailing attention-orienting account of spatial biases in numerical processing.
- This research offers new insights into the cognitive mechanisms underlying numerical cognition and spatial biases.
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