ArticleFrontiers in human neuroscience2018
A Novel Method for Classifying Driver Mental Workload Under Naturalistic Conditions With Information From Near-Infrared Spectroscopy.
Article in Frontiers in human neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The application of fNIRS in studies on occupational workload: a systematic review.Frontiers in public health · 2025Pooled it
- NeuroSafeDrive: An Intelligent System Using fNIRS for Driver Distraction Recognition.Sensors (Basel, Switzerland) · 2025Article
- Benchmarking framework for machine learning classification from fNIRS data.Frontiers in neuroergonomics · 2023Article
- Optimized electroencephalogram and functional near-infrared spectroscopy-based mental workload detection method for practical applications.Biomedical engineering online · 2022Article
- Functional near-infrared spectroscopy as a potential objective evaluation technique in neurocognitive disorders after traumatic brain injury.Frontiers in psychiatry · 2022Article
- Real-time prediction of short-timescale fluctuations in cognitive workload.Cognitive research: principles and implications · 2021Article
- A Methodological Review of fNIRS in Driving Research: Relevance to the Future of Autonomous Vehicles.Frontiers in human neuroscience · 2021Review
- Sensor-based indicators of performance changes between sessions during robotic surgery training.Applied ergonomics · 2021Article
- Classification of Drivers' Workload Using Physiological Signals in Conditional Automation.Frontiers in psychology · 2021Article
- Artificial Intelligence in Intracoronary Imaging.Current cardiology reports · 2020Review
- A Review of Psychophysiological Measures to Assess Cognitive States in Real-World Driving.Frontiers in human neuroscience · 2019Review
- Demonstrating Brain-Level Interactions Between Visuospatial Attentional Demands and Working Memory Load While Driving Using Functional Near-Infrared Spectroscopy.Frontiers in human neuroscience · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Driver cognitive distraction is a critical factor in road safety, and its evaluation, especially under real conditions, presents challenges to researchers and engineers. In this study, we considered mental workload from a secondary task as a potential source of cognitive distraction and aimed to estimate the increased cognitive load on the driver with a four-channel near-infrared spectroscopy (NIRS) device by introducing a machine-learning method for hemodynamic data. To produce added cognitive workload in a driver beyond just driving, two levels of an auditory presentation n-back task were used. A total of 60 experimental data sets from the NIRS device during two driving tasks were obtained and analyzed by machine-learning algorithms. We used two techniques to prevent overfitting of the classification models: (1)
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.