Discrete Event Simulation of Distributed Team Communication

Abstract

As the United States Department of Defense continues to increase the number of Remotely Piloted Aircraft (RPA) operations overseas, improved Human Systems Integration becomes increasingly important. RPA systems rely heavily on distributed team communications determined by systems architecture. Two studies examine the effects of systems architecture on operator workload of US Air Force MQ-1/9 operators. The rst study ascertains the effects of communication modality changes on mental workload using the Improved Research Integration Pro (IMPRINT) software tool to estimate pilot workload. Allocation of communication between modalities minimizes workload. The second study uses IMPRINT to model Mission Intelligence Controllers (MICs) and the effect of the system architecture upon them. Four system con gurations were simulated for four mission activity levels. Mental workload, monitoring time and the number of delayed tasks were estimated to determine the effect of changing system architecture parameters. Literature and MIC interviews provided parameters for the model. The analysis demonstrates that the proposed changes have significant effects which, in some conditions, bring the overall workload function toward a proposed theoretical optimum.

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Document Details

Document Type
Technical Report
Publication Date
Mar 22, 2012
Accession Number
ADA558299

Entities

People

  • Travis J. Pond

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Aircrafts
  • Cognition
  • Cognitive Workload
  • Department Of Defense
  • Experimental Design
  • Governments
  • Ground Control Stations
  • Human Systems Integration
  • Information Science
  • Military Research
  • Psychology
  • Situational Awareness
  • Systems Engineering
  • United States
  • Unmanned Aerial Systems
  • Unmanned Aerial Vehicles

Fields of Study

  • Computer science

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Aviation Science / Aeronautics.
  • Distributed Systems and Data Platform Development