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Automatic mental simulation in native and non-native speakers.
van Zuijlen, Samuel J A; Singh, Sharon; Gunawan, Kevin; Pecher, Diane; Zeelenberg, René.
Afiliación
  • van Zuijlen SJA; Erasmus University, Woudestein T13-31, PO Box 1738, 3000, DR, Rotterdam, the Netherlands.
  • Singh S; Erasmus University, Woudestein T13-31, PO Box 1738, 3000, DR, Rotterdam, the Netherlands.
  • Gunawan K; Erasmus University, Woudestein T13-31, PO Box 1738, 3000, DR, Rotterdam, the Netherlands.
  • Pecher D; Erasmus University, Woudestein T13-31, PO Box 1738, 3000, DR, Rotterdam, the Netherlands.
  • Zeelenberg R; Erasmus University, Woudestein T13-31, PO Box 1738, 3000, DR, Rotterdam, the Netherlands. zeelenberg@essb.eur.nl.
Mem Cognit ; 52(5): 1152-1163, 2024 Jul.
Article en En | MEDLINE | ID: mdl-38353910
ABSTRACT
Pictures of objects are verified faster when they match the implied orientation, shape, and color in a sentence-picture verification task, suggesting that people mentally simulate these features during language comprehension. Previous studies had an unintended correlation between match status and the required response, which may have influenced participants' responses by eliciting strategic use of this correlation. We removed this correlation by including color-matching filler trials and investigated if the color-match effect was still obtained. In both a native sample (Experiment 1) and a non-native sample (Experiment 2), we found strong evidence for a color-match advantage on median reaction time and error rates. Our results are consistent with the view that color is automatically simulated during language comprehension as predicted by the grounded cognition framework.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Reconocimiento Visual de Modelos / Multilingüismo / Comprensión Límite: Adult / Female / Humans / Male Idioma: En Revista: Mem Cognit Año: 2024 Tipo del documento: Article País de afiliación: Países Bajos Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Reconocimiento Visual de Modelos / Multilingüismo / Comprensión Límite: Adult / Female / Humans / Male Idioma: En Revista: Mem Cognit Año: 2024 Tipo del documento: Article País de afiliación: Países Bajos Pais de publicación: Estados Unidos