Human Performance Evaluation of Matrix Displays.

Abstract

The purpose of this research program was to investigate the influence of matrix display design parameters on operator target recognition performance. Five quantitative matrix display variables (emitter size, on-time, refresh-rate, viewing distance and emitter luminance) and two qualitative variables (emitter shape and packing format) were examined. The five quantitative factors were administered according to a Central-Composite, Response Surface Methodology experimental design four subject groups defined by different emitter shape-packing format combinations. The shape-format combinations were: 1) square emitter packed in an orthogonal matrix, 2) square emitters packed non-orthogonally, 3) hexagonal emitters in a rhombic matrix, and 4) triangular emitters packed orthogonally. Target imagery consisted of profile photographs of tactical vehicles in uniform backgrounds. The observers' task was to recognize the moving targets, and the performance measure was target height at recognition. This measure was transformed into two dependent variables for data analysis, target subtended visual angle at recognition and the number of emitters on the target at recognition. These variables were used to fit a second-order linear polynomial equation by the method of stepwise multiple regression. This equation was designed to specify performance in terms of the five quantitative variables.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1978
Accession Number
ADA080120

Entities

People

  • G. E. Corrick
  • L. A. Scanlon

Organizations

  • Hughes Aircraft Company

Tags

Communities of Interest

  • Air Platforms
  • Biomedical
  • Energy and Power Technologies
  • Human Systems
  • Sensors

DTIC Thesaurus Topics

  • Air Force
  • Air Force Facilities
  • Aircrafts
  • Analysis Of Variance
  • Biomedical Research
  • Data Analysis
  • Display Systems
  • Experimental Design
  • Factorial Design
  • Government Procurement
  • Matrix Displays
  • Observers
  • Radar
  • Recognition
  • Standards
  • Statistical Analysis
  • Target Recognition

Readers

  • Computer Vision.
  • Electronics Engineering
  • Regression Analysis.