Comparative Analysis of Human Reliability Models

Abstract

The purpose of the study was to describe, analyze and compare available models and methods for making quantitative predictions of human performance in man-machine systems. The 22 methods reviewed were divided into those relating to operability and maintainability; operability models further subdivide into analytic (non-simulation) and simulation models. Each model was analyzed in terms of goals, assumptions, scope, parameters, data requirements, procedures and validation/application studies. The report provides requirements for development of input data banks and data presentation formats. The most recent studies and the state of the art of human reliability prediction are reviewed. Recommendations for further research are made, centering around a survey of user needs for predictive data.

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Document Details

Document Type
Technical Report
Publication Date
Nov 30, 1971
Accession Number
AD0734432

Entities

People

  • David Meister

Tags

Communities of Interest

  • Biomedical
  • Ground and Sea Platforms
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Cognition
  • Cognitive Workload
  • Computational Science
  • Computer Programming
  • Computer Programs
  • Data Science
  • Databases
  • Human Factors Engineering
  • Information Processing
  • Information Retrieval
  • Information Science
  • Network Science
  • Psychology
  • Reliability
  • Surveys
  • Test And Evaluation
  • Test Equipment

Readers

  • Computational Modeling and Simulation
  • Software Engineering
  • Systems Analysis and Design