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What is the most plausible account of the role of parafoveal processing in reading

Bibliographic Data

ID4441309
AuthorsSally Andrews (0000-0002-5453-4628, The University of Sydney, corresponding author), Aaron Veldre (0000-0002-0364-8502, The University of Sydney)
Year2019
Volume13
Issue7
Publication date2019-07-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueLanguage and Linguistics Compass (JOURNAL)
Journal identifiersISSN: 1749-818X • E-ISSN: 1749-818X
PublisherWiley (PUBLISHER • GB)
DOI10.1111/lnc3.12344
OpenAlexW2965862518
LanguageEN
Citations received12
References cited99

Online reading requires exquisitely precise coordination of the oculomotor processes involved in extracting and integrating information from both the word currently fixated in foveal vision and upcoming words in the parafovea. Parafoveal preview effects, assessed using the gaze-contingent boundary paradigm, provide a rich source of evidence about the extent and depth of processing conducted on upcoming parafoveal words and how it contributes to reading. This review focuses on recent demonstrations of plausibility preview effects which provide strong evidence that readers extract semantic information from parafoveal words and that newly identified words are rapidly and incrementally integrated with the developing representation of the sentence to generate graded predictions about potential plausible continuations. Individual differences in the quality of skilled readers' lexical representations, indexed by the combination of reading and spelling ability, determine how semantic and contextual information extracted from parafoveal words influences oculomotor control. This evidence has important implications for theories of eye-movement control in online reading

Cognitive psychology · Eye movement · Eye tracking · Foveal · Gaze · Linguistics · Natural language processing · Sentence · Spelling · Computer Science · Multisensory perception and integration · Psychology · Reading and Literacy Development · Visual perception and processing mechanisms · Artificial Intelligence

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Unique citing works12
Citations per year2
Citation span2020 - 2026 (7)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 12

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