ReviewFrontiers in psychology2022
Human Mental Workload: A Survey and a Novel Inclusive Definition.
Review in Frontiers in psychology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 47 papers, 1 of them a synthesis that pooled it.
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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.
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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
47 citing papers in PubMed, 1 synthesis or guideline pooled it, 180 citations in OpenAlex.
- The application of fNIRS in studies on occupational workload: a systematic review.Frontiers in public health · 2025Pooled it
- Designing Novel Visual Physiologic Monitor Displays for Patient Care.Human factors · 2026Article
- Motor learning with force feedback instruments among laparoscopic surgeons and residents.Journal of robotic surgery · 2026Article
- Machine Learning Classification of Physiological Dynamics During Standardized Task-Demand Transitions.Bioengineering (Basel, Switzerland) · 2026Article
- Non-Invasive Physiological Metrics for Cognitive Load Assessment in Training and Operational Contexts: Signal Processing, Evidence, and Feasibility.Sensors (Basel, Switzerland) · 2026Review
- Beyond Performance: Cognitive Overload and Related Cognitive, Psychophysiological, and Performance States in Competitive Esports-A Scoping Review.Medical sciences (Basel, Switzerland) · 2026Article
- Heart Rate Variability and Body Motion as Digital Biomarkers of Task Workload During Military En Route Critical Care Simulations.Sensors (Basel, Switzerland) · 2026Article
- Associations of mindful eating and physical activity with mental workload and sleep quality in medical interns.Scientific reports · 2026Article
- AI-powered industrial quality assurance system for fancy yarn using computer vision and 3D visualization.Scientific reports · 2026Article
- The neurocognitive efficiency score: Derivation, validation, and application of a novel combination of concurrent electrophysiological and behavioral data.Cognitive, affective & behavioral neuroscience · 2026Article
- Neuroergonomic evaluation of risk-warning eHMI penetration rates in vehicle platoons: effects on pedestrians' mental workload, situation awareness, and gap acceptance.Scientific reports · 2026Article
- Dynamic velocity scaling for industrial collaborative robots: a gaze-driven approach.Scientific reports · 2026Article
- Multimodal Evaluation of Mental Workload and Engagement in Upper-Limb Robot-Assisted Motor Tasks.Sensors (Basel, Switzerland) · 2026Article
- Enhancement of modern defense capabilities by convergence of cognitive neuroscience and artificial intelligence.Frontiers in psychology · 2026Article
- A Machine Learning Framework for Automatic Cognitive Task Classification Using Dry Electrode EEG Data.Advances in experimental medicine and biology · 2026Article
- Classical back massage is associated with lower heart rate and sustained mean skin conductance during recovery after cognitive load: an exploratory controlled pilot study.Frontiers in physiology · 2026Article
- German version of subjective methods for measuring activation, mental workload, and attention in control rooms.Frontiers in psychology · 2026Article
- A survey of machine learning for estimating workload: considering unknown tasks.Frontiers in robotics and AI · 2026Review
- ACXNet hybrid deep learning model for cross task mental workload estimation using EEG neural manifolds.Scientific reports · 2025Article
- Perceptions of workload in emergency care in the Netherlands and how to influence this: a qualitative study.BMC emergency medicine · 2025Article
Corrections and comments
- Erratum issued
Authors and funding
4 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Human mental workload is arguably the most invoked multidimensional construct in Human Factors and Ergonomics, getting momentum also in Neuroscience and Neuroergonomics. Uncertainties exist in its characterization, motivating the design and development of computational models, thus recently and actively receiving support from the discipline of Computer Science. However, its role in human performance prediction is assured. This work is aimed at providing a synthesis of the current state of the art in human mental workload assessment through considerations, definitions, measurement techniques as well as applications, Findings suggest that, despite an increasing number of associated research works, a single, reliable and generally applicable framework for mental workload research does not yet appear fully established. One reason for this gap is the existence of a wide swath of operational definitions, built upon different theoretical assumptions which are rarely examined collectively. A second reason is that the three main classes of measures, which are self-report, task performance, and physiological indices, have been used in isolation or in pairs, but more rarely in conjunction all together. Multiple definitions complement each another and we propose a novel inclusive definition of mental workload to support the next generation of empirical-based research. Similarly, by comprehensively employing physiological, task-performance, and self-report measures, more robust assessments of mental workload can be achieved.
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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.