• Corpus ID: 1824576

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

@article{Berka2007EEGCO,
  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},
  year={2007},
  volume={78 5 Suppl},
  pages={
          B231-44
        }
}
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

TLDR
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

TLDR
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

TLDR
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

TLDR
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

TLDR
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

TLDR
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
TLDR
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

TLDR
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.
...

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