Cross-Validation of Indicators of Cognitive Workload

Abstract

The original 2000 AMBR project sought to evaluate how well four human performance models simulated behavior of human participants. Participants and models completed a modified version of an air traffic control task and were compared on the dimensions of performance, reaction time, and subjective workload ratings. The current study replicated the human performance findings of the previous phase of AMBR and added eye tracking analyses to enhance understanding of participants' behavior and to compare NASA TLX workload ratings with ACT-R workload predictions and ICA estimates. Examination of gaze position and patterns of eye movement provided evidence that participants adopted different visual strategies to complete the task in different display conditions and at different levels of demand. Evaluation of workload measures revealed that the three workload measures analyzed seemed to be estimating different facets of the broad concept of workload. Applicability of eye tracking analyses to understanding cognitive workload and augmenting cognitive models is discussed.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2005
Accession Number
ADA445070

Entities

People

  • Mike Bartels
  • Sandra P. Marshall

Tags

Communities of Interest

  • Air Platforms
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Traffic
  • Air Traffic Controllers
  • Aircrafts
  • Cognition
  • Cognitive Workload
  • Color Coding
  • Color Displays
  • Computer Programming
  • Computers
  • Eye Movements
  • Human Factors Engineering
  • Information Processing
  • Information Science
  • Mobile Phones
  • Predictive Modeling
  • Regression Analysis
  • Task Performance And Analysis

Fields of Study

  • Computer science
  • Psychology

Readers

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