Human Performance Modeling: Analysis of the Effects of Manned-Unmanned Teaming on Pilot Workload and Mission Performance

Abstract

An IMPRINT model was developed to predict a pilots cognitive workload levels and mission performance in a simulated environment when interacting with the cockpit and multiple UAVs. This research concluded that peaks in workload occur for the pilot during periods of high communications load and this communication may be degraded or delayed during air-to-air engagements. Nonetheless, autonomous control of the UAVs through Vector Steering, Pilot Directed Engagements, and Tactical Battle Management would enable pilots to control up to 3 UAVs and their own aircraft against 4 enemy targets,while maintaining acceptable pilot cognitive workload in an air operation.

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Document Details

Document Type
Technical Report
Publication Date
Mar 26, 2020
Accession Number
AD1100583

Entities

People

  • Jinan M. Andrews

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Aerial Warfare
  • Air Force
  • Aircrafts
  • Cognitive Systems Engineering
  • Cognitive Workload
  • Control Systems
  • Fighter Aircraft
  • Human Factors Engineering
  • Human Systems Integration
  • Human-Robot Interaction
  • Military Research
  • Psychology
  • Systems Engineering
  • Unmanned Aerial Systems
  • Unmanned Aerial Vehicles
  • Unmanned Systems
  • Unmanned Vehicles

Readers

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

Technology Areas

  • Autonomy
  • Autonomy - UAVs