Crew Systems Analysis of Unmanned Aerial Vehicle (UAV) Future Job and Tasking Environments

Abstract

The purpose of the research project was to understand the future crew environments for developing unmanned aerial vehicle (UAV) systems. A variety of human engineering tools job assessment software system JASS, enhanced computer-aided testing ECAT, and MicroSaint(Trademark)) were used to address crew issues related to the utility of having rated aviators as crew members, supplementing current crews with imagery and intelligence specialists, and the use of automation to improve systems efficiency. Data from 70 soldiers and experts from Fort Huachuca, Arizona, Fort Hood, Texas, and Hondo, Texas, were collected as part of this effort. The general finding was that the use of cognitive methods and computerized tool sets to understand future crew environments proved to be cost effective and useful. Specifically, no evidence was found to support a requirement for rated aviators in future Army missions, but the use of cognitively oriented embedded training simulators was suggested to aid novices in developing the cognitive skills evinced by experts. The efficacy of adding imagery specialists to 96U crews was discussed, and specific recommendations related to automation were derived from the workload modeling.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2000
Accession Number
ADA374230

Entities

People

  • Barry W. Tillman
  • Beverly G. Knapp
  • Brett A. Walters
  • Darlene Velicki
  • Michael J. Barnes

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Biomedical
  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Aircrafts
  • Cognitive Workload
  • Computers
  • Engineering
  • Ground Control Stations
  • Human Factors Engineering
  • Human Systems Integration
  • Military Research
  • Motor Skills
  • Personnel Management
  • Psychology
  • Reasoning
  • Simulators
  • Students
  • Unmanned Aerial Vehicles

Readers

  • Aerial Unmanned Vehicle Swarm Micro Periodontal Dentistry.
  • Instructional Design and Training Evaluation.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • Autonomy
  • Autonomy - Human-Robot Interaction