Comparing Conditional Probability Matrices

Abstract

In a wide variety of tasks, a person's performance may be characterized by a conditional probability matrix having one row for each possible stimulus, one column for each possible response, and with each cell entry being a conditional probability of the form P (response/stimulus). This paper describes a method for measuring how close one person's conditional probability matrix is either to another person's matrix, to the person's own matrix in another condition, or to the matrix predicted by a model. We describe a method for defining an inner product on the space of all SxR matrices. The inner product of two persons' conditional probability matrices measures their trial-by-trial response agreement. This inner product induces a distance metric on the space of all SxR matrices. We then describe a method for empirically estimating the inner product of two persons' matrices. From inner-product estimates, a distance estimate may be calculated.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1989
Accession Number
ADA211767

Entities

People

  • D. E. Bamber

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Abstracts
  • Classification
  • Human-Machine Interfaces
  • Information Processing
  • Interdisciplinary Science
  • Language
  • Military Research
  • Physiology
  • Probability
  • Psychological Phenomena And Processes
  • Psychology
  • Security
  • Signal Detection
  • Social Psychology
  • Supervisory Control

Fields of Study

  • Psychology

Readers

  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Linear Algebra
  • Regression Analysis.

Technology Areas

  • Space