Man-Machine Systems for Detection, Recognition, Transmission, and Perception of Information. Volume II.

Abstract

The purpose of this study was to develop a mathematical model of perceptual information processing that might be applied to engineering problems involving the use of an operator in a signal/information processing task. Using as a foundation the more basic and general psychological findings a predictive momodel was formulated which interactively incorporated this past research. The model formulation described a means of characterizing the ability of people to use information both for discrimination and identification tasks. Information processing was considered in an independent manner. A sequential logarithmic means of processing information was proposed which not only agreed with the results of past research but also provided a reasonably accurate simulation of both response accuracy and response time during the experimental study. A Bayesian means of characterizing the behavioral adjustments of both response accuracy and response time was proposed which used a memory of past responses to 'learn' the probabilities of the stimuli. (Author)

Document Details

Document Type
Technical Report
Publication Date
Jun 30, 1971
Accession Number
AD0727610

Entities

People

  • David P. Kennedy
  • Herbert M. Kaufman
  • Howard A. Sholl
  • Michael Drillings
  • Taylor L. Booth

Organizations

  • University of Connecticut

Tags

DTIC Thesaurus Topics

  • Accuracy
  • Computational Science
  • Detection
  • Discrimination
  • Engineering
  • Human-Machine Systems
  • Identification
  • Information Processing
  • Interdisciplinary Science
  • Mathematical Models
  • Models
  • Perception
  • Probability
  • Recognition
  • Simulations
  • Systems Engineering

Fields of Study

  • Psychology

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Auditory Neuroscience/Auditory Physiology.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference