ArticleFrontiers in human neuroscience2019
Estimating Cognitive Workload in an Interactive Virtual Reality Environment Using EEG.
Article 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 25 papers.
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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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Who cites it
25 citing papers in PubMed.
- Electroencephalogram-Based Analysis of Monomodal and Multimodal Interaction in Mixed Reality Games.Sensors (Basel, Switzerland) · 2026Article
- Evaluating and Classifying Gentleness in VR-Based Surgical Simulation: A VR + fNIRS Study.Sensors (Basel, Switzerland) · 2026Article
- A Music Interaction System Based on the Emotional Recognition of Older Adults in Smart Homes: Cross-Sectional Experimental Study.JMIR aging · 2026Article
- Exploratory Investigation of Motor and Psychophysiological Outcomes Following VR-Based Motor Training with Augmented Sensory Feedback for a Pilot Cohort with Spinal Cord Injury.Bioengineering (Basel, Switzerland) · 2025Article
- Graph-theoretical analysis of EEG-based functional connectivity during emotional experience in virtual reality for emotion recognition.Scientific reports · 2025Article
- Modulation of alpha and theta waves by social stimuli in virtual educational environments.Scientific reports · 2025Article
- Amputees but not healthy subjects optimally integrate non-spatially matched visuo-tactile stimuli.iScience · 2025Article
- iVR-fNIRS: studying brain functions in a fully immersive virtual environment.Neurophotonics · 2024Review
- Assessing Cognitive Workload in Motor Decision-Making through Functional Connectivity Analysis: Towards Early Detection and Monitoring of Neurodegenerative Diseases.Sensors (Basel, Switzerland) · 2024Article
- Article
- Bridging minds and machines in Industry 5.0: neurobiological approach.Frontiers in human neuroscience · 2024Article
- Multimodal Approach to Assess a Virtual Reality-based Surgical Training Platform.Virtual, augmented and mixed reality : 15th International Conference, VAMR 2023, held as part of the 25th HCI International Conference, HCII 2023, Copenhagen, Denmark, July 23-28, 2023, proceedings. VAMR (Conference) (15th : 2023 : Cope... · 2023Article
- A Novel OpenBCI Framework for EEG-Based Neurophysiological Experiments.Sensors (Basel, Switzerland) · 2023Article
- Monitoring Brain Activity in VR: EEG and Neuroimaging.Current topics in behavioral neurosciences · 2023Article
- Effects of different virtual reality technology driven dual-tasking paradigms on posture and saccadic eye movements in healthy older adults.Scientific reports · 2022Article
- Improved Cognitive Vigilance Assessment after Artifact Reduction with Wavelet Independent Component Analysis.Sensors (Basel, Switzerland) · 2022Article
- EEG-Based Identification of Emotional Neural State Evoked by Virtual Environment Interaction.International journal of environmental research and public health · 2022Article
- Assessment of instantaneous cognitive load imposed by educational multimedia using electroencephalography signals.Frontiers in neuroscience · 2022Article
- Cognitive Workload of Tugboat Captains in Realistic Scenarios: Adaptive Spatial Filtering for Transfer Between Conditions.Frontiers in human neuroscience · 2022Article
- Predictions of task using neural modeling.Frontiers in neuroergonomics · 2022Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With the recent surge of affordable, high-performance virtual reality (VR) headsets, there is unlimited potential for applications ranging from education, to training, to entertainment, to fitness and beyond. As these interfaces continue to evolve, passive user-state monitoring can play a key role in expanding the immersive VR experience, and tracking activity for user well-being. By recording physiological signals such as the electroencephalogram (EEG) during use of a VR device, the user's interactions in the virtual environment could be adapted in real-time based on the user's cognitive state. Current VR headsets provide a logical, convenient, and unobtrusive framework for mounting EEG sensors. The present study evaluates the feasibility of passively monitoring cognitive workload via EEG while performing a classical n-back task in an interactive VR environment. Data were collected from 15 participants and the spatio-spectral EEG features were analyzed with respect to task performance. The results indicate that scalp measurements of electrical activity can effectively discriminate three workload levels, even after suppression of a co-varying high-frequency activity.
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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.