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Updated: Jul 14, 2026

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Using Eye Movements Recorded in the Visual World Paradigm to Explore the Online Processing of Spoken Language
Published on: October 13, 2018
Eye movements during spoken word recognition in Russian children
Irina A Sekerina1, Patricia J Brooks
1Department of Psychology, College of Staten Island and Graduate Center of the City University of New York, Staten Island, NY 10314, USA. sekerina@mail.csi.cuny.edu
Journal of Experimental Child Psychology
|June 15, 2007
Summary
Children
Area of Science:
- Psycholinguistics
- Developmental Psychology
- Cognitive Science
Background:
- Spoken word recognition involves processing speech sounds incrementally.
- Developmental differences exist in language processing, particularly in children's ability to manage competing information.
Purpose of the Study:
- To investigate incremental spoken word recognition in Russian 5- and 6-year-old children and adults.
- To examine how cohort competition (words sharing initial sounds) affects processing in different age groups.
- To compare coarse-grain and fine-grain eye movement analyses for developmental insights.
Main Methods:
- Free-viewing eye-tracking was used with participants viewing scenes of familiar objects.
- A cohort condition featured object names with identical three-phoneme onsets; a noncohort condition had unique onsets.
- Participants clicked on a target object named in a spoken instruction.
Main Results:
- Adults showed more competitor eye movements in the cohort condition than the noncohort condition.
- Children did not show significant cohort competition in coarse-grain analyses, likely due to exploratory eye movements.
- Fine-grain analyses revealed similar eye movement time courses but longer lingering on competitors in children.
Conclusions:
- Developmental comparisons in language processing require considering multiple behavioral measures, such as both coarse- and fine-grain eye movements.
- Children's spoken word recognition may exhibit delayed competition resolution compared to adults.
- Eye-tracking methodologies need careful selection to accurately capture developmental differences in language processing.
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