Evidence map›Paper›PMID 39430560›Full record

ArticlePeerJ2024

Oral reading promotes predictive processing in Chinese sentence reading: eye movement evidence.

Min Chang, Zhenying Pu, Jingxin Wang

Abstract read
In one paragraph

Article in PeerJ, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Min ChangSchool of Education Science, Nantong University, Nantong, China.
Zhenying PuSchool of Education Science, Nantong University, Nantong, China.
Jingxin WangKey Research Base of Humanities and Social Sciences of the Ministry of Education, Academy of Psychology and Behavior, Tianjin Normal University, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Fluent sentence reading is widely acknowledged to depend on top-down contextual prediction, wherein sentential and contextual cues guide the pre-activation of linguistic representations before encountering stimuli, facilitating subsequent comprehension. The Prediction-by-Production hypothesis posits an explanation for predictive processes in language comprehension, suggesting that prediction during comprehension involves processes associated with language production. However, there is a lack of eye movement evidence supporting this hypothesis within sentence reading contexts. Thus, we manipulated reading mode and word predictability to examine the influence of language production on predictive processing. Methods: Participants engaged in silent or oral reading of sentences containing either high or low-predictable target words. Eye movements were recorded using the Eyelink1000 eye tracker. Results: The findings revealed a higher skipping rate and shorter fixation times for high-predictable words compared to low-predictable ones, and for silent compared to oral reading. Notably, interactive effects were observed in the time measures (FFD, SFD, GD) during first-pass reading, indicating that word predictability effects were more pronounced during oral reading than silent reading. Discussion: The observed pattern of results suggests that the activation of the production system enhances predictive processing during the early lexical access, providing empirical support for the Prediction-by-Production hypothesis in eye movement sentence reading situations, extending the current understanding of the timing and nature of predictions in reading comprehension.

Indexed as

ComprehensionEye MovementsReadingAdultChinaEye-Tracking TechnologyFemaleHumansLanguageMaleYoung AdultEye movementOral readingPrediction-by-production hypothesisSilent readingWord predictability

Identifiers

PMID39430560
PMCPMC11491060

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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.