• Corpus ID: 1824576

EEG correlates of task engagement and mental workload in vigilance, learning, and memory tasks.

  title={EEG correlates of task engagement and mental workload in vigilance, learning, and memory tasks.},
  author={Chris Berka and Daniel J. Levendowski and Michelle N. Lumicao and Alan Yau and Gene Davis and Vladimir T. Zivkovic and Richard Olmstead and Patrice D. Tremoulet and Patrick L. Craven},
  journal={Aviation, space, and environmental medicine},
  volume={78 5 Suppl},
INTRODUCTION The ability to continuously and unobtrusively monitor levels of task engagement and mental workload in an operational environment could be useful in identifying more accurate and efficient methods for humans to interact with technology. This information could also be used to optimize the design of safer, more efficient work environments that increase motivation and productivity. METHODS The present study explored the feasibility of monitoring electroencephalo-graphic (EEG… 

Use of EEG Workload Indices for Diagnostic Monitoring of Vigilance Decrement

Lower-frequency alpha appears to be the optimal index for monitoring vigilance on the task used here, but further work is needed to test how diagnosticity of EEG indices varies with task demands.

Correlation between Expected Workload and EEG Indices of Cognitive Workload and Task Engagement

An HCI usability evaluation was conducted which involved having 9 Navy operators interact with a prototyped Tactical Tomahawk Weapons Control System while wearing several neurophysiological sensors, giving a first indicator of promise for an EEG-based measure of cognitive workload in an HCI environment.

Efficient mental workload estimation using task-independent EEG features

This study demonstrates that an efficient and stable in time workload estimation can be achieved using task-independent spatially filtered ERPs elicited in a minimally intrusive manner.

Real-Time Mental Workload Estimation Using EEG

This work measured mental workload (MWL) derived from electroencephalography (EEG) signals, for subjects engaged in a simulated computer-based airplane-landing task, and calculated the degree of correlation between measured MWL and observable variables associated to task complexity.

Diagnostic Monitoring Of Vigilance Decrement Using EEG Workload Indices

Of the various EEG indices analyzed, lower frequency alpha and the Task Load Index (TLI) corresponded most closely to changes in signal detection rates, which confirmed that cueing reduces workload and enhances vigilance.

Measuring Mental Workload with EEG+fNIRS

Electroencephalography and functional near-infrared spectroscopy systems should be preferred to only EEG or fNIRS, in developing passive BCIs and other applications which need to monitor users' MWL, according to a comprehensive assessment of the classification system.

Using theta and alpha band power to assess cognitive workload in multitasking environments.

Task-irrelevant Auditory Event-related Potentials as Mental Workload Indicators: A Between-task Comparison Study*

  • Jinzhao XuYufeng Ke Dong Ming
  • Psychology
    2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
  • 2020
The results suggest that the tir-aERPs are potentially more constant MWL indicators across very different task types and should be taken into consideration in future task-independent MWL monitoring studies.

EEG Indices to Time-On-Task Effects and to a Workload Manipulation (Cueing)

The aim of this study was to evaluate the sensitivity of a range of EEG indices to time-on-task effects and to a workload manipulation (cueing), during performance of a resource-limited vigilance

Evaluating EEG Measures as a Workload Assessment in an Operational Video Game Setup

The use of the B-Alert workload index alone is not precise enough to assess an operator mental workload condition with certainty, and further evaluations of this measure need to be done.



Real-Time Analysis of EEG Indexes of Alertness, Cognition, and Memory Acquired With a Wireless EEG Headset

An integrated hardware and software solution for acquisition and real-time analysis of the electroencephalogram (EEG) to monitor indexes of alertness, cognition, and memory to augment cognition in military and industrial environments is presented.

Measures and models for predicting cognitive fatigue

We measured multichannel EEG spectra during a continuous mental arithmetic task and created statistical learning models of cognitive fatigue for single subjects. Sixteen subjects (4 F, 18-38 y)

EEG quantification of alertness: methods for early identification of individuals most susceptible to sleep deprivation

Electroencephalographic (EEG) and neurocognitive measures were simultaneously acquired to quantify alertness from 24 participants during 44-hours of sleep deprivation. Performance on a three-choice

Effects of a Psychophysiological System for Adaptive Automation on Performance, Workload, and the Event-Related Potential P300 Component

The results indicate that it is possible to improve performance with a psychophysiological adaptive automation system and that event-related potentials (ERPs) may provide an alternative means for distinguishing among levels of cognitive task demand in such systems.

An Attempt to Evaluate Mental Workload Using Wavelet Transform of EEG

An attempt was made to evaluate mental workload using a wavelet transform of electroencephalographic (EEG) signals, which found time-frequency characteristics to be sensitive indicators of mental workload and could differentiate three cognitive task loads with high precision.

Neurophysiologic monitoring of mental workload and fatigue during operation of a flight simulator

The findings suggest that the success of efforts to gauge mental workload via proxy cortical activation measures in the context of adaptive automation systems will likely depend on use of user models that take both task demands and the operator’s state of alertness into account.

Assessing fitness-for-duty and predicting performance with cognitive neurophysiological measures

Progress is described in developing a novel test of neurocognitive status for fitness-for-duty testing. The Sustained Attention & Memory (SAM) test combines neurophysiologic (EEG) measures of brain

High-resolution EEG mapping of cortical activation related to working memory: effects of task difficulty, type of processing, and practice.

The results serve to dissociate the effects of task difficulty and practice, to differentiate the involvement of posterior cortex in spatial versus verbal tasks, to localize frontal midline theta to the anteromedial cortex, and to demonstrate the feasibility of using anatomical MRIs to remove the blurring effect of the skull and scalp from the ongoing EEG.

EEG Indices Distinguish Spatial and Verbal Working Memory Processing: Implications for Real-Time Monitoring in a Closed-Loop Tactical Tomahawk Weapons Simulation

If the preliminary EEG indices derived in this study are shown to relate to the degree of working memory overload in the TTWCS or similar tasks, they could provide a valuable contribution to real-time adaptive aiding of human-system interaction.

Monitoring Working Memory Load during Computer-Based Tasks with EEG Pattern Recognition Methods

The results support the feasibility of using EEG-based methods for monitoring cognitive load during human-computer interaction with neural network pattern recognition applied to EEG spectral features.