Evidence map›Paper›PMID 36901016›Full record

ArticleInternational journal of environmental research and public health2023

Mapping Grip Force Characteristics in the Measurement of Stress in Driving.

Yotam Sahar, Tomer Elbaum, Oren Musicant, Michael Wagner, Leon Altarac, Shraga Shoval

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Article in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Yotam SaharDepartment of Industrial Engineering & Management, Ariel University, Ariel 4076414, Israel.ORCID 0000-0002-2499-3321
Tomer ElbaumDepartment of Industrial Engineering & Management, Ariel University, Ariel 4076414, Israel.ORCID 0000-0002-4455-6153
Oren MusicantDepartment of Industrial Engineering & Management, Ariel University, Ariel 4076414, Israel.ORCID 0000-0002-6639-0262
Michael WagnerDepartment of Industrial Engineering & Management, Ariel University, Ariel 4076414, Israel.ORCID 0000-0002-8448-7906
Leon AltaracDepartment of Industrial Engineering & Management, Ariel University, Ariel 4076414, Israel.ORCID 0009-0002-6479-9184
Shraga ShovalDepartment of Industrial Engineering & Management, Ariel University, Ariel 4076414, Israel.ORCID 0000-0002-0582-4821

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reducing drivers' stress can potentially increase road safety. However, state-of-the-art physiological stress indices are intrusive and limited by long time lags. Grip force is an innovative index of stress that is transparent to the user and, according to our previous findings, requires a two- to five-second time window. The aim of this study was to map the various parameters affecting the relationship between grip force and stress during driving tasks. Two stressors were used: the driving mode and the distance from the vehicle to a crossing pedestrian. Thirty-nine participants performed a driving task during either remote driving or simulated driving. A pedestrian dummy crossed the road without warning at two distances. The grip force on the steering wheel and the skin conductance response were both measured. Various model parameters were explored, including time window parameters, calculation types, and steering wheel surfaces for the grip force measurements. The significant and most powerful models were identified. These findings may aid in the development of car safety systems that incorporate continuous measurements of stress.

Indexed as

Automobile DrivingPedestriansAccidents, TrafficComputer SimulationHumansdriving simulationgrip forcepedestrianremote drivingsteering wheelstress

Identifiers

PMID36901016
PMCPMC10002433

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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.