Human Factors Design Issues for Spectral Exploitation Tools

Abstract

Increased demand for spectral data is keyed to the spectral data set's target detection potential. Spectral data can provide detailed, accurate information because of its ability to detect minuscule spectral differences in possible targets. Nevertheless, spectral-based technology has not been widely accepted or utilized in the operational community. This is primarily due to sensor collection limitations, dynamic time constraints, lack of user experience, and limited availability of validated exploitation tools and techniques. This effort implements human factors and cognitive engineering methods to identify significant human capability issues in spectral exploitation for operational use. The report includes a proposed test and evaluation plan to assess candidate tools and techniques. Examination of current literature identified color as a critical factor in display design and the use of color in spectral displays is included as one variable in a set of real world, part task simulations. The plan also includes early, comprehensive collection of user requirements and critical decision processes to facilitate design of a field-deployable prototype spectral exploitation tool. The goal of the proposed design methodology is to enhance interpretability and decrease exploitation time in rapid precision targeting scenarios.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 2000
Accession Number
ADA391844

Entities

People

  • Elisabeth Fitzhugh
  • Jeff Bradford
  • Richard Botschner

Tags

Communities of Interest

  • C4I
  • Human Systems
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Application Software
  • Change Detection
  • Cognitive Systems Engineering
  • Computer Vision
  • Data Analysis
  • Data Displays
  • Data Mining
  • Human Factors Engineering
  • Human Systems Integration
  • Information Science
  • Jet Propulsion
  • Psychology
  • Target Recognition
  • Task Performance And Analysis
  • Test And Evaluation
  • User Interface Engineering

Fields of Study

  • Engineering

Readers

  • Image Processing and Computer Vision.
  • Instructional Design and Training Evaluation.
  • Systems Analysis and Design