Evidence map›Paper›PMID 35092145›Full record

ArticleBrain and behavior2022

Detecting driver stress and hazard anticipation using real-time cardiac measurement: A simulator study.

Laora Kerautret, Stephanie Dabic, Jordan Navarro

Open access · goldAbstract read
In one paragraph

Article in Brain and behavior, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
3.2field-weighted citation impact, top 8% of its field
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

4 citing papers in PubMed, 19 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Laora KerautretLaboratoire d'Etude des Mecanismes Cognitifs (EA 3082), University Lyon 2, Bron, France.ORCID 0000-0003-2717-7917
Stephanie DabicValeo Interior Controls, Rue Jules Verne, Annemasse, France.
Jordan NavarroLaboratoire d'Etude des Mecanismes Cognitifs (EA 3082), University Lyon 2, Bron, France.
Université Claude Bernard Lyon 1 · FRValeo (France) · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesIn the context of growing interest in real-time driver stress detection systems, we question the value of using heart rate change over short time periods to detect driver stress and hazard anticipation.

methodsTo this end, we explored changes in heart rate and speed as well as perceived stress in 27 drivers in a driving simulator. Driver stress was triggered by using hazardous road events, while hazard anticipation was manipulated using three levels of hazard predictability: unpredictable (U), predictable (P), and predictable and familiar (PF).

resultsThe main results indicate that using heart rate change (1) is a good indicator for detecting driver stress in real time, (2) provides a cardiac signature of hazard anticipation, and (3) was affected by perceived stress groups. Further investigation is needed to validate the lack of relationship between increased anticipation/predictability and strengthened cardiac signature.

conclusionsThese results support the use of heart rate change as an indicator of real-time driver stress and hazard anticipation.

Indexed as

Automobile DrivingHeart Rateanticipationdetectiondriverheart rate changestress

Identifiers

PMID35092145
PMCPMC8865166
OpenAlexW4210366175

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.