Some Models of Human Error for Man-Machine System Evaluation.

Abstract

A framework is presented for quantifying and modeling the occurance of human error events in a system. Decision tasks are classified according to the stochastic behavior of the relevant variables associated with the man-machine linkages. A general semi-Markov formulation is presented for describing transitions among error states. Closed form results for the time-between-errors are given through transform relationships for the case where interdecision times form a renewal process. An approximate time-between-error distribution is given that provides computational ease and compared well with some experimental data obtained from a laboratory human decision-making task. (Author)

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Document Details

Document Type
Technical Report
Publication Date
May 15, 1979
Accession Number
ADA072838

Entities

People

  • Marlin U. Thomas

Organizations

  • University of Wisconsin–Milwaukee

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Assembly Lines
  • Classification
  • Communication Systems
  • Complex Systems
  • Databases
  • Diagrams
  • Engineering
  • Experimental Data
  • Information Processing
  • Markov Chains
  • Markov Processes
  • Motor Skills
  • Probability
  • Random Variables
  • Reliability
  • Stochastic Processes
  • Systems Engineering

Readers

  • Calculus or Mathematical Analysis
  • Statistical inference.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.