Evidence map›Paper›PMID 35865045›Full record

ReviewIranian journal of public health2022

Commonly Used Assessment Method to Evaluate Mental Workload for Multiple Driving Distractions: A Systematic Review.

Nurainaa Kabilmiharbi, Nor Kamaliana Khamis, Nor Azila Noh

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Iranian journal of public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  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

3 authors.

Nurainaa KabilmiharbiDepartment of Mechanical and Manufacturing Engineering, Faculty of Engineering & Built Environment, Universiti Kebangsaan Malaysia, Bangi, Malaysia.
Nor Kamaliana KhamisDepartment of Mechanical and Manufacturing Engineering, Faculty of Engineering & Built Environment, Universiti Kebangsaan Malaysia, Bangi, Malaysia.
Nor Azila NohFaculty of Medicine & Health Sciences, Universiti Sains Islam Malaysia, Nilai, Negeri Sembilan, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: We aimed to find the commonly used assessments to evaluate driver's mental workload and its relationship with driving distraction. Methods: Academic articles such as journals, books, reports and conference papers that are related to workload measurements methods used in identifying mental workload among drivers that are dated from Jan 2015 to Apr 2020 were used in this paper. Then, PRISMA checklist and flow diagram are being applied. Results: The few commonly used assessments in evaluating mental workload among drivers are Karolinska Sleepiness Scale (KSS), NASA TLX, Electroencephalogram (EEG), Heart Rate (HR), eye tracking and driving performance. Moreover, different types of driving distractions show to affect the driver's mental workload in one way or another when being evaluated using these assessments. Conclusion: The finding of this study can be used to find the gap for future research in vehicle safety by using multimodal monitoring of different types of assessments to increase the validity and robustness in driving assessment.

Indexed as

Driving distractionElectroencephalogram (EEG)FatigueHeart rateMental workload

Identifiers

PMID35865045
PMCPMC9276604

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.