Open Research Newcastle
Browse

Cognitive workload and analysis of flight path data

Download (1.08 MB)
report
posted on 2025-05-08, 20:22 authored by Zachary Howard, Reilly Innes, Scott BrownScott Brown, Ami EidelsAmi Eidels
Cognitive workload is of critical importance when operating sophisticated systems. In helicopters, pilots need to be able to process information from their avionics systems and from the external the environment, to fly certain flight paths and to ultimately complete the mission and return safely. When an individual is under high cognitive workload, they are more likely to make errors, or show a lower performance in the tasks they are performing (Kahneman, 1973). This is a critical issue, as flight conditions such as night, low altitude, or brownout may prove critical to the success of certain operations, yet may also impair processing by increasing cognitive workload. Hensoldt™ in co-operation with Airbus™ have developed a unique solution in a symbology system - which feeds sensor driven information directly to the pilot’s visor – which may reduce cognitive workload in difficult flight conditions. Two reports outline a study that assessed the effectiveness of the symbology system. This report (2018-1) focuses on the measurement of cognitive workload and analysis of flight path data.

History

Publisher

University of Newcastle

Place published

Callaghan, N.S.W.

Language

  • en, English

Rights statement

This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

Usage metrics

    Reports

    Categories

    No categories selected

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC