Evidence map›Paper›PMID 31062299›Full record

ArticleAttention, perception & psychophysics2019

Letter migration errors reflect spatial pooling of orthographic information.

Aaron Vandendaele, Joshua Snell, Jonathan Grainger

Abstract read
In one paragraph

Article in Attention, perception & psychophysics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Negative effects of redundant targets.Journal of experimental psychology. Human perception and performance · 2026
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Aaron VandendaeleDepartment of Experimental Psychology, Ghent University, Ghent, Belgium.
Joshua SnellLaboratoire de Psychologie Cognitive, CNRS & Aix-Marseille University, 3 place Victor Hugo, 13331, Marseille, France.
Jonathan GraingerLaboratoire de Psychologie Cognitive, CNRS & Aix-Marseille University, 3 place Victor Hugo, 13331, Marseille, France. jonathan.grainger@univ-amu.fr.

Funding

H2020 European Research Council 742141
6 · The paper itself

Abstract

Prior research has shown that readers may misread words by switching letters across words (e.g., the word sand in sand lane being recognized as land). These so-called letter migration errors have been observed using a divided attention paradigm whereby two words are briefly presented simultaneously, and one is postcued for identification. Letter migrations might therefore be due to a task-induced division of attention across the two words. Here, we show that a similar rate of migration errors is obtained in a flanker paradigm in which a central target word is flanked to the left and to the right by task-irrelevant flanking words. Three words were simultaneously presented for the same brief duration. Asked to type the target word postoffset, participants produced more migration errors when the migrating letter occupied the same position in the flanker and target words, with significantly fewer migrations occurring across adjacent positions, and the effect disappearing across nonadjacent positions. Our results provide further support for the hypothesis that orthographic information spanning multiple words is processed in parallel and spatially integrated (pooled) within a single channel. It is the spatial pooling of sublexical orthographic information that is thought to drive letter migration errors.

Indexed as

AttentionReadingAdultDyslexiaFemaleHumansMaleSemanticsSpatial ProcessingTask Performance and AnalysisTime FactorsYoung AdultFlanker paradigmLetter migrationsLetter positionsOrthographic processingParallel processing

Identifiers

PMID31062299
PMCPMC6675778

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.