Air Traffic Controller Memory Enhancement: Literature Review and Proposed Memory Aids

Abstract

The air traffic control system is highly complex and very dynamic. As new hardware of software systems are developed, it is essential that we develop a clear understanding of how controller memory will be influenced. Failure to store, search and/or retrieve key elements of operational data can lead to inaccuracies of detection and/or decisions with resulting errors in the clearances issued. This report concerns the influence of controller memory lapses on operational errors. The Federal Aviation Administration is engaged in an ongoing research effort to help air traffic controllers reduce the frequency of operational errors. This report presents the results of the first year's efforts in a three-year project to develop practical, effective memory aids to improve controller performance of tasks where memory is a critical element. Literature on controller memory and performance is reviewed and operational errors are analyzed to determine the nature and frequency of controller memory lapses. Several potential memory aids are identified and evaluated for effectiveness, feasibility, usability, acceptability, cost, and testability. The highest ranking memory aids are recommended for further evaluation in controlled experiments.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1990
Accession Number
ADA229869

Entities

People

  • B. Ahmed
  • Edward M. Schaeffer
  • P. J. Vingelis
  • P. Stringer
  • S. Gromelski

Tags

Communities of Interest

  • Air Platforms
  • Space

DTIC Thesaurus Topics

  • Air Traffic
  • Air Traffic Control Systems
  • Air Traffic Controllers
  • Aircrafts
  • Automated Speech Recognition
  • Aviation Safety
  • Cognition
  • Cognitive Systems Engineering
  • Cognitive Workload
  • Control Systems
  • Human Factors Engineering
  • Human-Machine Interfaces
  • Information Processing
  • Information Systems
  • Navigational Aids
  • Psychology
  • Task Performance And Analysis

Readers

  • Aviation Safety and Air Traffic Management
  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Systems Analysis and Design