Identification and Scaling of Complex Visual Patterns.

Abstract

Experiments were conducted to examine the detection and identification of complex visual patterns, representing various underwater sounds, in terms of stimulus dimensions indicated by a psychological scaling analysis of similarity judgments. Psychological dimensions differed somewhat between naive and experienced observers, and between visual and auditory representations, but high correlations with physical dimensions were found in all cases. A second objective of the study was to relate identification to detection, over successive stages of relatively long signals. The ROC analysis developed for detection of signals in random noise was applied to discrimination of wanted and unwanted signals. The analysis of stimulus dimensions enabled qualitative predictions of the relative levels of detection and identification for different sets of wanted and unwanted signals. The joint ROC, based on the probability of correct detection and correct identification, provided quantitative benchmarks for these predictions. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1977
Accession Number
ADA048620

Entities

People

  • D. Green
  • David J. Getty
  • Joel B. Swets
  • John A. Swets

Organizations

  • BBN Technologies

Tags

Communities of Interest

  • Energy and Power Technologies
  • Weapons Technologies

DTIC Thesaurus Topics

  • Accuracy
  • Computers
  • Contrast
  • Detection
  • Frequency
  • Heart Rate
  • Identification
  • Judgment
  • New York
  • Noise
  • Observation
  • Observers
  • Periodic Variations
  • Probability
  • Psychology
  • Signal Detection
  • Underwater Sound

Fields of Study

  • Psychology

Readers

  • Regression Analysis.
  • Systems Analysis and Design
  • Vision Science/Vision Psychology/Cognitive Neuroscience.