ReviewFrontiers in human neuroscience2019
A Review of Psychophysiological Measures to Assess Cognitive States in Real-World Driving.
Review in Frontiers in human neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers, 4 of them syntheses that pooled it.
What it found
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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.
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Who cites it
77 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- The Micro-Mobility Sensing Gap: A Systematic Review of Physiological Safety Monitoring from Cycling to E-Scooters.Sensors (Basel, Switzerland) · 2026Pooled it
- Detecting and Predicting Pilot Mental Workload Using Heart Rate Variability: A Systematic Review.Sensors (Basel, Switzerland) · 2024Pooled it
- A Systematic Review for Cognitive State-Based QoE/UX Evaluation.Sensors (Basel, Switzerland) · 2021Pooled it
- Sensitivity of Physiological Measures of Acute Driver Stress: A Meta-Analytic Review.Frontiers in neuroergonomics · 2021Pooled it
- Inferring Hidden Attentional States in Driving: A Bayesian Approach to Modeling Distraction and Secondary Task Engagement.Human factors · 2026Article
- Personalized Classification of Scenario-Derived Operational Driver-State Classes from Non-Intrusive Wearable Signals in Real-World SAE Level 2 Automated Driving.Sensors (Basel, Switzerland) · 2026Article
- Detecting and Improving Human Cognitive State in Real-Time Using Data-Driven Adaptive Systems: A Systematic Review.Bioengineering (Basel, Switzerland) · 2026Review
- Dual-Stream Fusion of Eye-Tracking and ECG Signals for Fatigue Detection in Remote Tower Air Traffic Controllers.Bioengineering (Basel, Switzerland) · 2026Article
- Comparing Eye-Tracking Metrics with the Driver Activity Load Index.Journal of eye movement research · 2026Article
- Research on drowsiness detection in UAV operators based on the random decision forest method.Scientific reports · 2026Article
- Physiological Assessment of Mental Stress in Construction Workers Under High-Risk Working Conditions: ECG-Based Field Measurements on Inexperienced Scaffolders.Sensors (Basel, Switzerland) · 2026Article
- From Initial to Situational Automation Trust: The Interplay of Personality, Interpersonal Trust, and Trust Calibration in Young Males.Behavioral sciences (Basel, Switzerland) · 2026Article
- Multimodal characterization of male drivers' affect-relevant and workload-related responses in extra-long tunnel driving.Frontiers in psychology · 2026Article
- Examining physiological parameters of mental workload in the cockpit: a multimethod approach.Frontiers in physiology · 2026Article
- Cognitive state monitoring for neuroadaptive information visualization.Frontiers in human neuroscience · 2026Review
- Divergent eye-brain-heart fatigue signatures during sustained simulated agricultural operations.Frontiers in physiology · 2026Article
- Physiological and Personality Measures as Potential Factors Associated with Cardiac Coherence Training Effects on Symptoms Reduction: A Pilot Study on Healthcare Workers.Clinical neuropsychiatry · 2025Article
- An examination of sustained attention during complex multitasking scenarios.Cognitive research: principles and implications · 2025Article
- From Trust in Automation to Trust in AI in Healthcare: A 30-Year Longitudinal Review and an Interdisciplinary Framework.Bioengineering (Basel, Switzerland) · 2025Review
- Occupational and Driving Challenges Within Sleep Medicine.Journal of sleep research · 2025Review
17 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
As driving functions become increasingly automated, motorists run the risk of becoming cognitively removed from the driving process. Psychophysiological measures may provide added value not captured through behavioral or self-report measures alone. This paper provides a selective review of the psychophysiological measures that can be utilized to assess cognitive states in real-world driving environments. First, the importance of psychophysiological measures within the context of traffic safety is discussed. Next, the most commonly used physiology-based indices of cognitive states are considered as potential candidates relevant for driving research. These include: electroencephalography and event-related potentials, optical imaging, heart rate and heart rate variability, blood pressure, skin conductance, electromyography, thermal imaging, and pupillometry. For each of these measures, an overview is provided, followed by a discussion of the methods for measuring it in a driving context. Drawing from recent empirical driving and psychophysiology research, the relative strengths and limitations of each measure are discussed to highlight each measures' unique value. Challenges and recommendations for valid and reliable quantification from lab to (less predictable) real-world driving settings are considered. Finally, we discuss measures that may be better candidates for a near real-time assessment of motorists' cognitive states that can be utilized in applied settings outside the lab. This review synthesizes the literature on in-vehicle psychophysiological measures to advance the development of effective human-machine driving interfaces and driver support systems.
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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.