Human Performance Effects of Adaptive Automation of Various Air Traffic Control Information Processing Functions

Abstract

Advanced forms of automation are being considered for application to Air Traffic Control (ATC) in order to reduce controller workload and make higher traffic volumes more manageable. At this point in time there is only limited knowledge of the implications of, for example, Adaptive Automation (AA) on controller performance, workload, and Situation Awareness (SA). The purpose of this research was to (1) define a measure of SA in an ATC simulation that is a sensitive and reliable indicator of automation state changes as part of AA; (2) empirically assess the SA measure for use in investigating AA of various ATC information processing functions; and (3) determine the relationship(s) between AA in the ATC simulation and operator SA. The situation awareness global assessment technique (SAGAT) was considered to be an appropriate candidate measure of SA during AA of an ATC simulation.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2003
Accession Number
ADA418991

Entities

People

  • Christopher K. Mcclernon

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Human Systems
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Air Traffic
  • Cognition
  • Cognitive Workload
  • Computers
  • Control Systems
  • General Aviation Aircraft
  • Human Factors Engineering
  • Human-Machine Systems
  • Information Processing
  • Information Science
  • Psychology
  • Situational Awareness
  • Task Performance And Analysis
  • Test And Evaluation
  • Transport Aircraft
  • Warning Systems

Readers

  • Aviation Safety and Air Traffic Management
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.