Evidence map›Paper›PMID 42151352›Full record

ArticleScientific reports2026

Exploring how textual complexity affects cognitive load during reading: an eye-tracking study.

David Vaněček, Martin Kursch, Eyüp Şen, Inam Ur Rehman, Yilmaz Ilker Yorulmaz

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

David VaněčekDepartment of Pedagogical and Psychological Studies, Masaryk Institute of Advanced Studies, Czech Technical University in Prague, Kolejni 2637/2a, 160 00, Praha, Czechia. david.vanecek@cvut.cz.ORCID https://orcid.org/0000-0002-8746-5235
Martin KurschDepartment of Pedagogical and Psychological Studies, Masaryk Institute of Advanced Studies, Czech Technical University in Prague, Kolejni 2637/2a, 160 00, Praha, Czechia.ORCID https://orcid.org/0000-0001-9492-7971
Eyüp ŞenDepartment of Pedagogical and Psychological Studies, Masaryk Institute of Advanced Studies, Czech Technical University in Prague, Kolejni 2637/2a, 160 00, Praha, Czechia.ORCID https://orcid.org/0000-0002-5045-8349
Inam Ur RehmanDepartment of Pedagogical and Psychological Studies, Masaryk Institute of Advanced Studies, Czech Technical University in Prague, Kolejni 2637/2a, 160 00, Praha, Czechia.ORCID https://orcid.org/0000-0001-6625-6680
Yilmaz Ilker YorulmazDepartment of Pedagogical and Psychological Studies, Masaryk Institute of Advanced Studies, Czech Technical University in Prague, Kolejni 2637/2a, 160 00, Praha, Czechia.ORCID https://orcid.org/0000-0003-0934-3942

Funding

INTER-EXCELLENCE LUAUS25106
6 · The paper itself

Abstract

Reading constitutes a fundamental component of learning, and understanding cognitive load during reading is important both for explaining how learners engage with text and for enhancing the effectiveness of learning. The primary aim of this study is to examine how manipulated text complexity conditions influence eye-movement behavior, in order to better understand how readers' gaze patterns reflect increases or decreases in cognitive load. Specifically, the study investigates whether key metrics (fixations, regressions, pupil area) and the behavioral indicator of reading duration differ systematically between easy and hard texts. The study examines how textual complexity affects cognitive load during reading using eye-tracking. The study included 33 university students (18 female, 15 male; M age = 35.6, SD = 12.4), all native Czech speakers. Participants completed a counterbalanced repeated-measures reading task in Czech in which text complexity was experimentally manipulated across lexical, syntactic, and semantic dimensions. Eye-movement data were collected during reading to capture behavioral patterns typically linked to variations in cognitive load, and participants subsequently provided self-reports of perceived mental effort using the NASA-TLX. Results showed that texts with greater complexity led to more fixations, more regressions, and longer reading durations, indicating higher cognitive load. NASA-TLX ratings likewise indicated greater perceived effort for the higher-complexity condition. However, pupillary metrics showed no meaningful differences between conditions. Overall, the findings suggest that gaze-based eye-tracking metrics are sensitive indicators of cognitive demand, while pupillary responses depend on specific experimental conditions.

Indexed as

CognitionEye MovementsEye-Tracking TechnologyReadingAdultFemaleFixation, OcularHumansLearningMaleYoung AdultCognitive loadEye movementEye-trackingText complexity

Identifiers

PMID42151352
PMCPMC13376601

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.