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Semantic Size and Contextual Congruency Effects During Reading

Evidence From Eye Movements

Bibliographic Data

ID11272886
AuthorsWei Wei (0000-0003-1852-2811, ,), Anne E Cook (0000-0002-0733-6370, ,, corresponding author)
Year2016
Volume53
Issue5-6
Pages415-429
Publication date2016-07-03
Open AccessNo
TypeARTICLE
VenueDiscourse Processes (JOURNAL)
Journal identifiersISSN: 0163-853X • E-ISSN: 1532-6950
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/0163853x.2016.1175899
OpenAlexW2330228397
LanguageEN
Citations received2
References cited36

Recent lexical decision studies have produced conflicting evidence about whether an object's semantic size influences word recognition. The present study examined this variable in online reading. Target words representing small and large objects were embedded in sentence contexts that were either neutral, congruent, or incongruent with respect to object size, and participants' eye movements were monitored. We found that although semantic size alone did not influence early word processing, the congruency of the object's size with the preceding context did have an effect. Rereading durations and total times were longer for targets in incongruent contexts, but this occurred regardless of a target's semantic size. We suggest that semantic size may not affect early word recognition processes but that size information is activated upon reading a word and subsequently integrated and validated against readers' knowledge and the context. These findings can be accommodated within the RI-Val view of comprehension

Affect (linguistics · Cognition · Cognitive psychology · Comprehension · Context (archaeology · Context effect · Eye movement · Linguistics · Natural language processing · Object (grammar · Reading (process · Semantic memory · Semantics (computer science · Sentence · Word (group theory · Word recognition · Communication · Computer Science · Neurobiology of Language and Bilingualism · Psychology · Reading and Literacy Development · Text Readability and Simplification · Artificial Intelligence

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Citations per year0.22
Citation span2017 - 2021 (5)
Highly citedNo

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