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ZENODO
Dataset . 2023
License: CC 0
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2023
License: CC 0
Data sources: ZENODO
DRYAD
Dataset . 2023
License: CC 0
Data sources: Datacite
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Data from: Speakers of different languages remember visual scenes differently

Authors: Fernandez-Duque, Matias; Hayakawa, Sayuri; Marian, Viorica;

Data from: Speakers of different languages remember visual scenes differently

Abstract

Language can have a powerful effect on how people experience events. Here, we examine how the languages people speak guide attention and influence what they remember from a visual scene. When hearing a word, listeners activate other similar-sounding words before settling on the correct target. We tested whether this linguistic co-activation during a visual search task changes memory for objects. Bilinguals and monolinguals remembered English competitor words that overlapped phonologically with a spoken English target better than control objects without name overlap. High Spanish proficiency also enhanced memory for Spanish competitors that overlapped across languages. We conclude that linguistic diversity partly accounts for differences in higher cognitive functions like memory, with multilinguals providing a fertile ground for studying the interaction between language and cognition.

Data was analyzed using R and requires the following R packages: tidyverse broom lme4 afex emmeans sjPlot Hmisc rstatix plotrix ggeffects ggpattern data.table

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Keywords

FOS: Psychology, Psycholinguistics, Memory, Language

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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