(Dis)similarities between non-symbolic and symbolic number representations: Insights from vector space models

Autor: Xueying Ren, Melissa E. Libertus
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Acta Psychologica, Vol 248, Iss , Pp 104374- (2024)
Druh dokumentu: article
ISSN: 0001-6918
DOI: 10.1016/j.actpsy.2024.104374
Popis: Empirical evidence in support of a shared system for non-symbolic and symbolic number processing has been inconclusive. The current study aims to address this question in a novel way, specifically by testing whether the efficient coding principle based on co-occurrence of number symbols in natural language holds for both non-symbolic and symbolic number processing. The efficient coding principle postulates that perception is optimized when stimuli frequently co-occur in a natural environment. We hypothesized that both numerical ratios and co-occurrence frequencies of symbolic numbers would significantly influence participants' performance on a non-symbolic and symbolic number comparison task. To test this hypothesis, we employed latent semantic analysis on a TASA corpus to quantify number co-occurrence in natural language and calculate language similarity estimates. We engaged 73 native English speakers (mean age = 19.36, standard deviation = 1.83) with normal or corrected vision and no learning disorders in a number comparison task involving non-symbolic (dot arrays) and symbolic stimuli (Arabic numerals and English number words). Results showed that numerical ratios significantly predicted participants' performances across all number formats (ps
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