Evidence map›Paper›PMID 40290627›Full record

ArticleJournal of eye movement research2025

Analyzing Gaze During Driving: Should Eye Tracking Be Used to Design Automotive Lighting Functions?

Korbinian Kunst, David Hoffmann, Anıl Erkan, Karina Lazarova, Tran Quoc Khanh

Abstract read
In one paragraph

Article in Journal of eye movement research, 2025. 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.

Korbinian KunstLaboratory of Adaptive Lighting Systems and Visual Processing, Technical University of Darmstadt, Hochschulstr. 4a, 64289 Darmstadt, Germanyerkan@lichttechnik.tu-darmstadt.de (A.E.); karina.lazarova@stud.tu-darmstadt.de (K.L.).ORCID https://orcid.org/0000-0001-9627-226X
David HoffmannLaboratory of Adaptive Lighting Systems and Visual Processing, Technical University of Darmstadt, Hochschulstr. 4a, 64289 Darmstadt, Germanyerkan@lichttechnik.tu-darmstadt.de (A.E.); karina.lazarova@stud.tu-darmstadt.de (K.L.).ORCID https://orcid.org/0000-0001-5288-159X
Anıl ErkanLaboratory of Adaptive Lighting Systems and Visual Processing, Technical University of Darmstadt, Hochschulstr. 4a, 64289 Darmstadt, Germanyerkan@lichttechnik.tu-darmstadt.de (A.E.); karina.lazarova@stud.tu-darmstadt.de (K.L.).ORCID https://orcid.org/0000-0001-9677-3646
Karina LazarovaLaboratory of Adaptive Lighting Systems and Visual Processing, Technical University of Darmstadt, Hochschulstr. 4a, 64289 Darmstadt, Germanyerkan@lichttechnik.tu-darmstadt.de (A.E.); karina.lazarova@stud.tu-darmstadt.de (K.L.).ORCID https://orcid.org/0009-0003-8522-8409
Tran Quoc KhanhLaboratory of Adaptive Lighting Systems and Visual Processing, Technical University of Darmstadt, Hochschulstr. 4a, 64289 Darmstadt, Germanyerkan@lichttechnik.tu-darmstadt.de (A.E.); karina.lazarova@stud.tu-darmstadt.de (K.L.).ORCID https://orcid.org/0000-0003-1828-2459

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this work, an experiment was designed in which a defined route consisting of country roads, highways, and urban roads was driven by 20 subjects during the day and at night. The test vehicle was equipped with GPS and a camera, and the subject wore head-mounted eye-tracking glasses to record gaze. Gaze distributions for country roads, highways, urban roads, and specific urban roads were then calculated and compared. The day/night comparisons showed that the horizontal fixation distribution of the subjects was wider during the day than at night over the whole test distance. When the distributions were divided into urban roads, country roads, and motorways, the difference was also seen in each road environment. For the vertical distribution, no clear differences between day and night can be seen for country roads or urban roads. In the case of the highway, the vertical dispersion is significantly lower, so the gaze is more focused. On highways and urban roads there is a tendency for the gaze to be lowered. The differentiation between a residential road and a main road in the city made it clear that gaze behavior differs significantly depending on the urban area. For example, the residential road led to a broader gaze behavior, as the sides of the street were scanned much more often in order to detect potential hazards lurking between parked cars at an early stage. This paper highlights the contradictory results of eye-tracking research and shows that it is not advisable to define a holy grail of gaze distribution for all environments. Gaze is highly situational and context-dependent, and generalized gaze distributions should not be used to design lighting functions. The research highlights the importance of an adaptive light distribution that adapts to the traffic situation and the environment, always providing good visibility for the driver and allowing a natural gaze behavior.

Indexed as

automotivecountry roadseye trackinggazehighwayshorizontal fixationslighting designobject detectiontrafficurban roadsvertical fixations

Identifiers

PMID40290627
PMCPMC12028203

What OpenQuestion holds

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LicenceCC BY
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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.