Applying the Law of Comparative Judement to Target Signature Evaluation

Abstract

The Law of Comparative Judgement (LCJ) is a psychophysical tool that can be used to scale complex phenomena that lack easily identified physical parameters. Target signatures represent such phenomena. In a demonstration exercise, a search difficulty" value was found using the LCJ. These LCJ scale values were compared to search times and probabilities of detection from a search experiment run in the Netherlands. The scale values were not linearly related to search time and probability of detection, but correlated very well with the logarithm of mean search time (r = 0.936) and the cube of the number of correct responses (r = 0.954). A chi-squared goodness-of-fit test gave 94.6% confidence in the fit of the LCJ scale to the experimental data. While the LCJ results in a scale with no natural zero point and arbitrary units, this tool can be used to construct a standard scale: This paper illustrates how a standard clutter scale might be constructed using the LCJ. The LCJ could be a valuable tool in target signature evaluation either when used in conjunction with scaling equations that permit conversion to familiar quantities such as mean search time and probability of detection, by providing relative "search difficulty" values, or by making possible a psychophysically meaningful clutter scale.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2000
Accession Number
ADP010534

Entities

People

  • James R. Mcmanamey

Organizations

  • United States Army Communications-Electronics Command

Tags

Communities of Interest

  • Human Systems
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Acquisition
  • Computer Programs
  • Data Science
  • Databases
  • Detection
  • Information Science
  • Measurement
  • Measures Of Effectiveness
  • Military Personnel
  • Night Vision
  • Probability
  • Psychology
  • Research Facilities
  • Statistical Analysis
  • Target Acquisition
  • Target Signatures
  • Test And Evaluation

Readers

  • Regression Analysis.
  • Sensor Fusion and Tracking Systems.
  • Statistical inference.