Evidence map›Paper›PMID 39256289›Full record

ArticleCognitive research: principles and implications2024

Audiovisual messages may improve the processing of traffic information and driver attention during partially automated driving: An EEG study.

Marina Pi-Ruano, Alexandra Fort, Pilar Tejero, Christophe Jallais, Javier Roca

Abstract read
In one paragraph

Article in Cognitive research: principles and implications, 2024. 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.

Marina Pi-RuanoERI-Lectura (UVEG), Avenida Blasco Ibáñez, 21, 46010, Valencia, Spain. marina.pi@uv.es.ORCID 0000-0002-3882-1694
Alexandra FortLESCOT (Univ. Eiffel), 25 Avenue François Mitterrand, Case24. Cité Des Mobilités, 69675, Bron Cedex, France.
Pilar TejeroERI-Lectura (UVEG), Avenida Blasco Ibáñez, 21, 46010, Valencia, Spain.
Christophe JallaisLESCOT (Univ. Eiffel), 25 Avenue François Mitterrand, Case24. Cité Des Mobilités, 69675, Bron Cedex, France.
Javier RocaERI-Lectura (UVEG), Avenida Blasco Ibáñez, 21, 46010, Valencia, Spain.

Funding

conselleria d'Innovació, Universitats, Ciència i Societat Digital, Generalitat Valenciana BEFPI/2021/074Conselleria d'Innovació, Universitats, Ciència i Societat Digital, Generalitat Valenciana ACIF/2019/160Conselleria d'Innovació, Universitats, Ciència i Societat Digital, Generalitat Valenciana AICO/2021/290European Social Fund ACIF/2019/160Ministerio de Ciencia e Innovación I+D+i PID2019-106562GB-I00
6 · The paper itself

Abstract

Partially autonomous vehicles can help minimize human errors. However, being free from some driving subtasks can result in a low vigilance state, which can affect the driver's attention towards the road. The present study first tested whether drivers of partially autonomous vehicles would benefit from the addition of auditory versions of the messages presented in variable message signs (VMS), particularly, when they find themselves in a monotonous driving situation. A second aim was to test whether the addition of auditory messages would also produce an indirect effect on the driver's vigilance, improving performance on other driving subtasks not related to the message processing. Forty-three volunteers participated in a driving simulator study. They completed two tasks: (a) a VMS task, where they had to regain manual control of the car if the VMS message was critical, and (b) a car-following task, where they had to pay attention to the preceding car to respond to occasional brake events. Behavioral and EEG data were registered. Overall, results indicated that the addition of audio messages helped drivers process VMS information more effectively and maintain a higher level of vigilance throughout the driving time. These findings would provide useful information for the development of partially automated vehicles, as their design must guarantee that the driver remains attentive enough to assume control when necessary.

Indexed as

AttentionAutomobile DrivingElectroencephalographyAcoustic StimulationAdultAuditory PerceptionAutomationFemaleHumansMalePsychomotor PerformanceYoung AdultAudio messagesEEGPartial automationVariable message signsVigilance

Identifiers

PMID39256289
PMCPMC11387282

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.