Evidence map›Paper›PMID 41874130›Full record

ArticleJournal of eye movement research2026

Characteristics of Eye Movements and Correlation to Cognitive Functions in Relation to the Location of Guide Signs and Driving Speed.

Takaya Maeyama, Hiroki Okada, Daisuke Sawamura

Abstract read
In one paragraph

Article in Journal of eye movement research, 2026. 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.

Takaya MaeyamaGraduate School of Health Sciences, Hokkaido University, Kita 12-jo Nishi 5-chome, Kitaku, Sapporo 060-0812, Hokkaido, Japan.ORCID 0009-0001-4083-7652
Hiroki OkadaDepartment of Rehabilitation Sciences, Hokkaido University, Kita 12-jo Nishi 5-chome, Kitaku, Sapporo 060-0812, Hokkaido, Japan.
Daisuke SawamuraDepartment of Rehabilitation Sciences, Hokkaido University, Kita 12-jo Nishi 5-chome, Kitaku, Sapporo 060-0812, Hokkaido, Japan.ORCID 0000-0003-3180-3474

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Driving safety critically depends on the ability of drivers to efficiently recognize and process guide sign information under varying traffic conditions. This study examined how driving speed (slow/fast) and guide sign location (front/left) influence eye-movement behavior during guide sign recognition, and how these effects relate to drivers' cognitive functions and basic demographics. Twenty-four licensed drivers performed a guide sign recognition task using onboard video stimuli, and eye movements based on fixations and saccades were recorded. Generalized linear mixed models with participants as random effects were used to analyze the interactions between driving conditions, cognitive functions, demographics, and eye movement measures. Under low-load conditions, such as slow driving and front-positioned signs, individual differences in cognitive functions, including verbal memory and useful field of view, were strongly reflected in eye-movement behavior. Under high-load conditions characterized by fast driving and left-positioned signs, the influence of cognitive function was reduced, and eye movements were more strongly associated with driving experience. Increasing driving speed was associated with fewer eye movements, whereas the saccade amplitude remained unchanged, indicating the suppression of exploratory eye movements. For left-positioned signs, the fixation duration on the target was maintained, whereas gaze shifts between the forward environment and the sign were reduced.

Indexed as

cognitive functiondrivingeye movementguide signson-board videosvisual recognition

Identifiers

PMID41874130
PMCPMC13010679

What OpenQuestion holds

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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.