Neuro-ergonomic Research for Online Assessment of Cognitive Workload

Abstract

This is the final report of a project to use electroencephalography based cognitive load measurement to understand its place in the technology landscape. This report summarizes the research activities, results of the user studies and research accomplishments out of the online assessment of cognitive workload project in the past year. At the start of the project, we carried out a literature review on electroencephalography (EEG) based cognitive load measurement (CLM) to understand the technology landscape. We then investigated some statistical features of EEG signals for online measurement. After that, we explored further on various spectral features, including entropy, weighted mean frequency and bandwidth. Finally we investigated the feasibility of using a low-cost EEG headset for CLM. All together, we had carried out 3 sets of user experiments to validate the research outcomes based on a common set of nletter word identification tasks while a subject is reading silently.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2011
Accession Number
ADA551175

Entities

People

  • Fang Chen

Tags

Communities of Interest

  • Biomedical
  • Energy and Power Technologies
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Brain
  • Cognition
  • Cognitive Science
  • Cognitive Systems Engineering
  • Cognitive Workload
  • Computational Science
  • Databases
  • Frequency Bands
  • Human-Computer Interaction
  • Information Processing
  • Information Science
  • Machine Learning
  • Medical Personnel
  • Neurons
  • Neurosciences
  • Psychology
  • Supervised Machine Learning

Readers

  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Speech Processing/Speech Recognition.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.