ArticleFrontiers in neuroergonomics2024
Mental workload assessment by monitoring brain, heart, and eye with six biomedical modalities during six cognitive tasks.
Article in Frontiers in neuroergonomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Combining EEG and eye-tracking for cognitive and physiological states monitoring: a systematic review.Frontiers in neuroergonomics · 2025Pooled it
- Machine Learning Classification of Physiological Dynamics During Standardized Task-Demand Transitions.Bioengineering (Basel, Switzerland) · 2026Article
- Multimodal EEG and Eye-Tracking Assessment of Perceived Mental Workload and Situation Awareness in a Visual Display Terminal Simulation Task.Sensors (Basel, Switzerland) · 2026Article
- Benchmarking Multimodal Workload Classification: Effects of Modality, Validation Protocol, and Segmentation Contrast on an Open Graded-Arithmetic Dataset.Bioengineering (Basel, Switzerland) · 2026Article
- Spatial-Temporal EEG Imaging for Dual-Loop Neuro-Adaptive Simulation: Cognitive-State Decoding and Communication Gating in Critical Human-Machine Teams.Journal of imaging · 2026Article
- The effect of choice and reward on motivation and performance: an eye-tracking study.Frontiers in psychology · 2026Article
- Family health as a mediator between work-family conflict and depression in working parents: a cross-sectional study.Frontiers in psychology · 2026Article
- EEG Sensor-Based Computational Model for Personality and Neurocognitive Health Analysis Under Social Stress.Sensors (Basel, Switzerland) · 2025Article
- Toward Wearable MagnetoCardioGraphy (MCG) for Cognitive Workload Monitoring: Advancements in Sensor and Study Design.Sensors (Basel, Switzerland) · 2025Article
- Cognitive Control and Prefrontal Neural Efficiency in Experienced and Novice E-Gamers.Brain sciences · 2025Article
- Cardiac Heterogeneity Prediction by Cardio-Neural Network Simulation.Neuroinformatics · 2025Article
- Functional near-infrared spectroscopy for the assessment and treatment of patients with disorders of consciousness.Frontiers in neurology · 2025Review
- Combined Effects of Moderate Hypoxia and Sleep Restriction on Mental Workload.Clocks & sleep · 2024Article
- A Framework for Selecting and Assessing Wearable Sensors Deployed in Safety Critical Scenarios.Sensors (Basel, Switzerland) · 2024Review
- Prefrontal Cortex Responses to Social Video Stimuli in Young Children with and without Autism Spectrum Disorder.Brain sciences · 2024Article
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Authors and funding
5 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Introduction: The efficiency and safety of complex high precision human-machine systems such as in aerospace and robotic surgery are closely related to the cognitive readiness, ability to manage workload, and situational awareness of their operators. Accurate assessment of mental workload could help in preventing operator error and allow for pertinent intervention by predicting performance declines that can arise from either work overload or under stimulation. Neuroergonomic approaches based on measures of human body and brain activity collectively can provide sensitive and reliable assessment of human mental workload in complex training and work environments. Methods: In this study, we developed a new six-cognitive-domain task protocol, coupling it with six biomedical monitoring modalities to concurrently capture performance and cognitive workload correlates across a longitudinal multi-day investigation. Utilizing two distinct modalities for each aspect of cardiac activity (ECG and PPG), ocular activity (EOG and eye-tracking), and brain activity (EEG and fNIRS), 23 participants engaged in four sessions over 4 weeks, performing tasks associated with working memory, vigilance, risk assessment, shifting attention, situation awareness, and inhibitory control. Results: The results revealed varying levels of sensitivity to workload within each modality. While certain measures exhibited consistency across tasks, neuroimaging modalities, in particular, unveiled meaningful differences between task conditions and cognitive domains. Discussion: This is the first comprehensive comparison of these six brain-body measures across multiple days and cognitive domains. The findings underscore the potential of wearable brain and body sensing methods for evaluating mental workload. Such comprehensive neuroergonomic assessment can inform development of next generation neuroadaptive interfaces and training approaches for more efficient human-machine interaction and operator skill acquisition.
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