Understanding and Measuring Cognitive Workload: A Coordinated Multidisciplinary Approach

Abstract

This research program was designed to develop predictive (based on cognitive modeling) and descriptive (based on physiological data) measures of cognitive workload that are highly correlated. Such measures must be theoretically grounded and empirically verified. Our main engineering goals in this project were to show: (1) how the predictive measures (cognitive modeling) could be applied to guide the design of novel interfaces and communication protocols for decision making tasks, and (2) how the descriptive measures (physiological) could be used to measure workload during real-time task performance.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2003
Accession Number
ADA417743

Entities

People

  • Deborah A. Boehm-davis
  • Leonard Adelman
  • Robert Pozos
  • Sandra Marshall
  • Wayne D. Gray

Organizations

  • George Mason University

Tags

Communities of Interest

  • Ground and Sea Platforms
  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Cognition
  • Cognitive Science
  • Cognitive Systems Engineering
  • Cognitive Workload
  • Computer Programming
  • Computers
  • Engineering
  • Human Behavior
  • Human Factors Engineering
  • Human Systems Integration
  • Information Processing
  • Judgment
  • Operating Systems
  • Psychology
  • Situational Awareness
  • Task Performance And Analysis

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Computational Modeling and Simulation