Evidence map›Paper›PMID 41863253›Full record

ArticleHuman factors2026

Exploring False Warnings and Modalities for Emergency Vehicle Alerts and Their Impact on Driver Behavior.

Kajsa Weibull, Marius Brudvik Norell, Birgitta Thorslund, Björn Lidestam

Abstract read
In one paragraph

Article in Human factors, 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

4 authors.

Kajsa WeibullSwedish National Road and Transport Research Institute, Sweden.ORCID 0000-0001-9724-8456
Marius Brudvik NorellDepartment of Computer and Information Science, Linköping University, Sweden.
Birgitta ThorslundDepartment of Computer and Information Science, Linköping University, Sweden.
Björn LidestamSwedish National Road and Transport Research Institute, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

ObjectiveThis study explores the order effects in false alarms and the effect of warning modality when drivers receive an Emergency Vehicle Approaching (EVA) alert.BackgroundEVA alerts have the potential to decrease delays for emergency vehicles. However, false alarms and suboptimal warning designs can decrease warning effectiveness. Aligned with previous research, drivers should benefit from receiving an alert that is not visual.MethodA driving simulator study with 80 participants was conducted. During a 30-minute drive, the participants received three EVA alerts, one of which was false. One group received a false alert first, followed by a true alert. The other group had the opposite order. Both groups received another true alert before the experiment ended. Half of the drivers received auditory warnings, and the other half visual warnings.ResultsDrivers who received auditory warnings moved over more quickly compared to drivers who received visual alerts. There was an order effect of false warnings, suggesting that drivers who had received a false warning before they received a true warning were slower at moving over, compared to drivers who received a true warning in their first interaction. However, when the drivers received one true and one false warning each, there was no order effect in the third interaction.ConclusionBoth alert modality and false warning effects are important when implementing EVA alerts.ApplicationThis research should be used to understand the order effect of false warnings on in-car warnings. When designing in-car warnings, auditory warnings may be more effective.

Indexed as

Automobile DrivingPsychomotor PerformanceAdultComputer SimulationFemaleHumansMaleYoung Adultdriver behaviorintelligent vehicle systemswarning compliancewarningswarning systems

Identifiers

PMID41863253
PMCPMC13385634

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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.