Transfer effects from language processing to visual attention dynamics: The impact of orthographic transparency
| Autor: | Martínez Iniesta, Antonio José, Bajo Molina, María Teresa, Rivera, Marta, Paolieri, Daniela |
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| Jazyk: | angličtina |
| Rok vydání: | 2022 |
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| Popis: | The consistency between letters and sounds varies across languages. These differences have been proposed to be associated with different reading mechanisms (lexical vs. phonological), processing grain sizes (coarse vs. fine) and attentional windows (whole words vs. individual letters). This study aimed to extend this idea to writing to dictation. For that purpose, we evaluated whether the use of different types of processing has a differential impact on local windowing attention: phonological (local) processing in a transparent language (Spanish) and lexical (global) processing of an opaque language (English). Spanish and English monolinguals (Experiment 1) and Spanish–English bilinguals (Experiment 2) performed a writing to dictation task followed by a global–local task. The first key performance showed a critical dissociation between languages: the response times (RTs) from the Spanish writing to dictation task was modulated by word length, whereas the RTs from the English writing to dictation task was modulated by word frequency and age of acquisition, as evidence that language transparency biases processing towards phonological or lexical strategies. In addition, after a Spanish task, participants more efficiently processed local information, which resulted in both the benefit of global congruent information and the reduced cost of incongruent global information. Additionally, the results showed that bilinguals adapt their attentional processing depending on the orthographic transparency. Doctoral Research Grant, Spanish Government FPU16/01748 Feder Andalucia A-CTS111-UGR18 P20.00107 Ministerio de Ciencia, Innovacion y Universidades-Fondos Feder A-SEJ-416-UGR20 PID2019-111359GB-I00/AEI/10.13039/501100011033 PGC2018-093786-B-I00 |
| Databáze: | OpenAIRE |
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