ArticleCognitive neurodynamics2024
Cognitive workload estimation using physiological measures: a review.
Article in Cognitive neurodynamics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Designing Novel Visual Physiologic Monitor Displays for Patient Care.Human factors · 2026Article
- Non-Invasive Physiological Metrics for Cognitive Load Assessment in Training and Operational Contexts: Signal Processing, Evidence, and Feasibility.Sensors (Basel, Switzerland) · 2026Review
- Benchmarking Multimodal Workload Classification: Effects of Modality, Validation Protocol, and Segmentation Contrast on an Open Graded-Arithmetic Dataset.Bioengineering (Basel, Switzerland) · 2026Article
- ECG-Only Cognitive Workload State Classification in Laparoscopic Training Using Raw and Recurrence-Plot Representations.Sensors (Basel, Switzerland) · 2026Article
- Multimodal EEG-EMG and FEM-Based Adaptive Control of Passive Upper-Limb Exoskeletons.Sensors (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
- Correlation-based channel selection for cognitive workload assessment and classification using EEG signals.Physical and engineering sciences in medicine · 2026Article
- Beyond Cognitive Load Theory: Why Learning Needs More than Memory Management.Brain sciences · 2026Review
- A novel paradigm for identifying eye-tracking metrics associated with cognitive control during driving through MEG neuroimaging.Transportation research. Part F, Traffic psychology and behaviour · 2026Article
- Analysis of cognitive mechanisms in phoneme perception and pronunciation errors among Korean language learners.Frontiers in psychology · 2026Article
- A survey of machine learning for estimating workload: considering unknown tasks.Frontiers in robotics and AI · 2026Review
- The evaluation of cognitive workload associated with indocyanine green fluorescence angiography in colorectal surgery.Surgical endoscopy · 2026Article
- Simultaneous Mental Fatigue and Mental Workload Assessment With Wearable High-Density Diffuse Optical Tomography.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2025Article
- Simultaneous interpreting with auto-subtitling: Investigating viewer cognitive effort, stress, and comprehension.PloS one · 2025Article
- A Framework for Selecting and Assessing Wearable Sensors Deployed in Safety Critical Scenarios.Sensors (Basel, Switzerland) · 2024Review
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Authors and funding
2 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Estimating cognitive workload levels is an emerging research topic in the cognitive neuroscience domain, as participants' performance is highly influenced by cognitive overload or underload results. Different physiological measures such as Electroencephalography (EEG), Functional Magnetic Resonance Imaging, Functional near-infrared spectroscopy, respiratory activity, and eye activity are efficiently used to estimate workload levels with the help of machine learning or deep learning techniques. Some reviews focus only on EEG-based workload estimation using machine learning classifiers or multimodal fusion of different physiological measures for workload estimation. However, a detailed analysis of all physiological measures for estimating cognitive workload levels still needs to be discovered. Thus, this survey highlights the in-depth analysis of all the physiological measures for assessing cognitive workload. This survey emphasizes the basics of cognitive workload, open-access datasets, the experimental paradigm of cognitive tasks, and different measures for estimating workload levels. Lastly, we emphasize the significant findings from this review and identify the open challenges. In addition, we also specify future scopes for researchers to overcome those challenges.
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