An Analytical Evaluation of Unmanned Aircraft System Warning Signals as Processed by a Model of Color Vision Deficiencies

Abstract

In order to assist in the determination of the need for U.S. Army color vision requirements for unmanned aircraft system (UAS) operators, representative cockpit display images from the Shadow and Gray Eagle Universal Mission Simulator (UMS) were collected and analyzed. The UMS monitors, graphics engines, display characteristics, and especially caution/warning imagery are identical to those used in Shadow and Gray Eagle tactical cockpits. Of particular interest were warning or cautionary signals consisting of text overlaid over colored backgrounds. Three background colors were used in order of priority: red for warning, bronze for caution, and blue for advisory. Color vision deficiency (CVD) matrix coefficients for protanomalous, deuteranomalous, and tritanomalous observers with CVD severity indices of 0 to 1.0 (normal to dichromat), were applied to the RGB values for each of the three alert background colors. Twenty-one swatches representing 21 severity scores were created for the three color deficiencies. Swatch RGB colors were converted to CIELAB color space in order to calculate distances between swatches which have previously been used to correlate with perceptual color confusion metrics. Using a CIELAB criterion separation distance of thirteen, only the red-yellow swatch distances for the more severe deuteranomalous observer fell below the criterion.

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Document Details

Document Type
Technical Report
Publication Date
Mar 26, 2020
Accession Number
AD1094561

Entities

People

  • Jon Vogl
  • Juan Colon-cruz
  • Kharananda Sharma
  • Thomas H. Harding

Organizations

  • United States Army

Tags

Communities of Interest

  • Air Platforms
  • Autonomy

DTIC Thesaurus Topics

  • Absorption
  • Absorption Spectra
  • Aircrafts
  • Attenuation
  • Coefficients
  • Color Separation
  • Color Vision
  • Computers
  • Contrast
  • Deficiencies
  • Discrimination
  • Education
  • Filtration
  • Graphics
  • Long Wavelengths
  • Short Wavelengths
  • Simulations
  • Simulators
  • Spectra
  • United States
  • Unmanned Aerial Systems
  • Unmanned Aerial Vehicles

Readers

  • Aviation Science / Aeronautics.
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.
  • Vision Science/Vision Psychology/Cognitive Neuroscience.

Technology Areas

  • Autonomy
  • Space