ReviewJournal of neuroengineering and rehabilitation2021
Measuring mental workload in assistive wearable devices: a review.
Review in Journal of neuroengineering and rehabilitation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- Rethinking Brain-Computer Interfaces for Soft Robotic Systems: A Unified Framework and Perspective.Sensors (Basel, Switzerland) · 2026Article
- Measurement of Cognitive and Kinematic Adaptation in Exoskeleton-Assisted Locomotion: Validation of an XR-Based Framework.Sensors (Basel, Switzerland) · 2026Article
- Multidimensional evaluation of a two-level-of-compliance quasi-passive prosthetic wrist: functional, biomechanical, cognitive and user-experience outcomes in trans-radial limb loss.Journal of neuroengineering and rehabilitation · 2026Article
- Cyberlegs X-Leg at CYBATHLON 2024: insights on the control development of an active transfemoral prosthesis.Journal of neuroengineering and rehabilitation · 2026Article
- Estimating cognitive workload in robot assisted surgery using time and frequency features from EEG epochs with random forest regression.Scientific reports · 2026Article
- Aqueously Upcycled Lignin with Emergent Tribonegativity for Skin-Integrated Triboelectronics.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- Multimodal Evaluation of Mental Workload and Engagement in Upper-Limb Robot-Assisted Motor Tasks.Sensors (Basel, Switzerland) · 2026Article
- Using a self-modulated treadmill as a novel approach to study cognitive-motor and biomechanical outcomes during dual-task walking in individuals with and without lower limb loss.Experimental brain research · 2026Article
- Mapping EEG Metrics to Human Affective and Cognitive Models: An Interdisciplinary Scoping Review from a Cognitive Neuroscience Perspective.Biomimetics (Basel, Switzerland) · 2025Review
- Characterizing eye gaze and mental workload for assistive device control.Wearable technologies · 2025Article
- Human factors considerations of Interaction between wearers and intelligent lower-limb prostheses: a prospective discussion.Journal of neuroengineering and rehabilitation · 2024Review
- User-Centered Evaluation of the Wearable Walker Lower Limb Exoskeleton; Preliminary Assessment Based on the Experience Protocol.Sensors (Basel, Switzerland) · 2024Article
- Classification of mental workload using brain connectivity and machine learning on electroencephalogram data.Scientific reports · 2024Article
- Mental workload assessment by monitoring brain, heart, and eye with six biomedical modalities during six cognitive tasks.Frontiers in neuroergonomics · 2024Article
- A scoping review of eye tracking metrics used to assess visuomotor behaviours of upper limb prosthesis users.Journal of neuroengineering and rehabilitation · 2023Article
- Reliability of Mental Workload Index Assessed by EEG with Different Electrode Configurations and Signal Pre-Processing Pipelines.Sensors (Basel, Switzerland) · 2023Article
- A tool for measuring mental workload during prosthesis use: The Prosthesis Task Load Index (PROS-TLX).PloS one · 2023Article
- Dry EEG measurement of P3 to evaluate cognitive load during sitting, standing, and walking.PloS one · 2023Article
- Human Mental Workload: A Survey and a Novel Inclusive Definition.Frontiers in psychology · 2022Review
- Phantom Sensations Influenced by Global and Local Modifications of the Prosthetic Socket as a Potential Solution for Natural Somatosensory Feedback During Walking: A Preliminary Study of a Single Case.Frontiers in rehabilitation sciences · 2022Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
As wearable assistive devices, such as prostheses and exoskeletons, become increasingly sophisticated and effective, the mental workload associated with their use remains high and becomes a major challenge to their ecological use and long-term adoption. Numerous methods of measuring mental workload co-exist, making analysis of this research topic difficult. The aim of this review is to examine how mental workload resulting from the use of wearable assistive devices has been measured, in order to gain insight into the specific possibilities and limitations of this field. Literature searches were conducted in the main scientific databases and 60 articles measuring the mental workload induced by the use of a wearable assistive device were included in this study. Three main families of methods were identified, the most common being 'dual task' and 'subjective assessment' methods, followed by those based on 'physiological measures', which included a wide variety of methods. The variability of the measurements was particularly high, making comparison difficult. There is as yet no evidence that any particular method of measuring mental workload is more appropriate to the field of wearable assistive devices. Each method has intrinsic limitations such as subjectivity, imprecision, robustness or complexity of implementation or interpretation. A promising metric seems to be the measurement of brain activity, as it is the only method that is directly related to mental workload. Finally, regardless of the measurement method chosen, special attention should be paid to the measurement of mental workload in the context of wearable assistive devices. In particular, certain practical considerations, such as ecological situations and environments or the level of expertise of the participants tested, may be essential to ensure the validity of the mental workload assessed.
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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.