| Numbers and space: a computational model of the SNARC effect. | |
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MedLine Citation:
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PMID: 16478324 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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The SNARC (spatial numerical associations of response codes) effect reflects the tendency to respond faster with the left hand to relatively small numbers and with the right hand to relatively large numbers (S. Dehaene, S. Bossini, & P. Giraux, 1993). Using computational modeling, the present article aims to provide a framework for conceptualizing the SNARC effect. In line with models of spatial stimulus-response congruency, the authors modeled the SNARC effect as the result of parallel activation of preexisting links between magnitude and spatial representation and short-term links created on the basis of task instructions. This basic dual-route model simulated all characteristics associated with the SNARC effect. In addition, 2 experiments tested and confirmed new predictions derived from the model. |
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Authors:
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Wim Gevers; Tom Verguts; Bert Reynvoet; Bernie Caessens; Wim Fias |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't |
Journal Detail:
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Title: Journal of experimental psychology. Human perception and performance Volume: 32 ISSN: 0096-1523 ISO Abbreviation: J Exp Psychol Hum Percept Perform Publication Date: 2006 Feb |
Date Detail:
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Created Date: 2006-02-15 Completed Date: 2006-10-11 Revised Date: 2006-11-15 |
Medline Journal Info:
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Nlm Unique ID: 7502589 Medline TA: J Exp Psychol Hum Percept Perform Country: United States |
Other Details:
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Languages: eng Pagination: 32-44 Citation Subset: IM |
Copyright Information:
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((c) 2006 APA, all rights reserved). |
Affiliation:
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Department of Experimental Psychology, Ghent University, Ghent, Belgium. wim.gevers@ugent.be |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Adult Association Learning* Computer Graphics Conflict (Psychology)* Female Functional Laterality* Humans Inhibition (Psychology) Judgment Male Memory, Short-Term Models, Theoretical* Neural Networks (Computer)* Nonlinear Dynamics Pattern Recognition, Visual* Problem Solving Psychomotor Performance Reaction Time* Regression Analysis |
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