Impact of Remotely Piloted Aircraft Type on Operations Using the Same Control Station: A Natural Experiment

Abstract

The study assessed the impact of RPA heterogeneity on the human performance challenges when operating from a common control station (CCS). All MQ-1 and MQ-9 RPA mishaps from FY 06-11 with associated Human Factors Analysis and Classification System (HFACS) codes were entered into a dataset (N = 88). Logistic regression models were formulated with latent failures as predictors of active failures; RPA type was included as an independent predictor variable and a modifier of predictor variables for latent failures. Also, an exploratory factor analysis was accomplished with RPA type included as a distinct variable. Overall, variation in RPA type did not impart differential demands on the pilot using a CCS.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2013
Accession Number
ADA591019

Entities

People

  • Anthony P. Tvaryanas
  • Genny M. Maupin

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Biomedical
  • Human Systems

DTIC Thesaurus Topics

  • Accidents
  • Air Force
  • Air Force Research Laboratories
  • Aircrafts
  • Classification
  • Data Science
  • Databases
  • Department Of Defense
  • Factor Analysis
  • Government Procurement
  • Governments
  • Information Science
  • Motor Skills
  • Regression Analysis
  • Remotely Piloted Vehicles
  • Standards
  • Statistical Analysis

Readers

  • Aerospace Engineering.
  • Aviation Safety Risk Assessment.
  • Computational Modeling and Simulation