2014
DOI: 10.1080/1357650x.2014.966108
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Hemispheric asymmetry of emotion words in a non-native mind: A divided visual field study

Abstract: This study investigates hemispheric specialization for emotional words among proficient non-native speakers of English by means of the divided visual field paradigm. The motivation behind the study is to extend the monolingual hemifield research to the non-native context and see how emotion words are processed in a non-native mind. Sixty eight females participated in the study, all highly proficient in English. The stimuli comprised 12 positive nouns, 12 negative nouns, 12 non-emotional nouns and 36 pseudo-wor… Show more

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Cited by 23 publications
(11 citation statements)
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“…In contrast, Jonczyk (2013), reported shorter latencies and higher accuracy rates for negative words. This result was supported by another study conducted with late bilinguals (Jonczyk, 2014). Better performance in processing negative words were reported for Chinese-English bilinguals by Chen (2015).…”
Section: Introductionsupporting
confidence: 68%
“…In contrast, Jonczyk (2013), reported shorter latencies and higher accuracy rates for negative words. This result was supported by another study conducted with late bilinguals (Jonczyk, 2014). Better performance in processing negative words were reported for Chinese-English bilinguals by Chen (2015).…”
Section: Introductionsupporting
confidence: 68%
“…At first sight, our data further complicate the picture because we obtained no differences in RVF advantage between the three types of stimuli (in line with Kanske & Kotz, 2007). Furthermore, in our study positive words were responded to more rapidly (771 ms) than negative (786 ms) and neutral words (791 ms Holtgraves & Felton, 2011;Kanske & Kotz, 2007), sometimes below the other two conditions (Fussell et al, 2012;Jończyk, 2015), and sometimes above the other conditions (Martin & Altarriba, 2017).…”
Section: Discussionmentioning
confidence: 42%
“…Holtgraves and Felton (2011) also reported an overall RVF advantage for the recognition of words, but the interaction between type of word and VHF indicated a deviating pattern for negative words, in particular highly arousing negative words, which showed a LVF advantage, in line with VSH predictions. A smaller RVF advantage for negative words than for positive and neutral words was also reported by Martin and Altarriba (2017), but not by Jończyk (2015) who found a smaller RVF advantage for neutral words than for positive and negative words. Martin and Altarriba (2017) further compared emotion-labelled words (words that refer to positive or negative emotions, e.g.…”
mentioning
confidence: 60%
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