Predicting Subjective Workload Ratings: A Comparison and Synthesis of Operational and Theoretical Models

Abstract

Output from a computer simulation of two air traffic control (ATC) scenarios was fit to workload ratings that ATC subject-matter experts provided while observing each scenario in real time. Simulation output enabled regression analyses that tested the assumptions of a variety of workload prediction models. These included both operational models that use observable situational and behavioral variables (e.g., number of aircraft and communications by type) and theoretical models that use queuing and cognitive architecture variables (e.g., activities performed, amount of busy time, and sensory and cognitive resource usage). Results suggested the models that included number of activities performed weighted by priority accounted for the highest amount of variance in subjective workload ratings.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2007
Accession Number
ADA465365

Entities

People

  • Craig Rosenberg
  • Jerry Crutchfield

Organizations

  • Federal Aviation Administration

Tags

Communities of Interest

  • Biomedical
  • Space

DTIC Thesaurus Topics

  • Aerospace Medicine
  • Air Traffic
  • Air Traffic Controllers
  • Aircrafts
  • Altitude
  • Clearances
  • Communication Channels
  • Communication Systems
  • Descriptive Analytics
  • Flight
  • Flight Paths
  • Information Exchange
  • Models
  • Personnel Management
  • Regression Analysis
  • Task Performance And Analysis
  • Workload

Fields of Study

  • Computer science

Readers

  • Computational Modeling and Simulation
  • Occupational Health and Safety.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.