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(Dis)similarities between non-symbolic and symbolic number representations: Insights from vector space models.
Ren, Xueying; Libertus, Melissa E.
Afiliação
  • Ren X; Department of Psychology, University of Pittsburgh, Pittsburgh 15260, PA, USA; Learning Research and Development Center, University of Pittsburgh, Pittsburgh 15260, PA, USA; Center for the Neural Basis of Cognition, Pittsburgh 15260, PA, USA. Electronic address: xur1@pitt.edu.
  • Libertus ME; Department of Psychology, University of Pittsburgh, Pittsburgh 15260, PA, USA; Learning Research and Development Center, University of Pittsburgh, Pittsburgh 15260, PA, USA; Center for the Neural Basis of Cognition, Pittsburgh 15260, PA, USA.
Acta Psychol (Amst) ; 248: 104374, 2024 Aug.
Article em En | MEDLINE | ID: mdl-38908226
ABSTRACT
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 < 0.001). Language similarity estimates derived from everyday language also predicted performance on the non-symbolic task and the symbolic task involving number words (ps < 0.007). Our results highlight the complex nature of numerical processing, pointing to the co-occurrence of number symbols in natural language as an auxiliary factor in understanding the shared characteristics between non-symbolic and symbolic number representations. Given that our study focused on a limited number range (5 to 16) and a specific task type, future studies should explore a wider range of tasks and numbers to further test the role of the efficient coding principle in number processing.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Idioma Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Idioma Idioma: En Ano de publicação: 2024 Tipo de documento: Article