Computational Approaches for Analyzing Tradeoffs Between Training and Aiding

Abstract

This paper presents a methodological framework for representing tradeoffs among alternative combinations of training and aiding for personnel in complex systems. A wide variety of methods, tools, and models are reviewed. These approaches are evaluated in terms of their advantages and disadvantages when used to analyze training/aiding tradeoffs. These evaluations lead to the synthesis of three composite approaches to analyzing tradeoffs. The use of the proposed framework and its component methods, tools, and models is illustrated by analysis of a realistically complex example. Aiding, Modeling, Training.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
May 01, 1990
Accession Number
ADA221436

Entities

People

  • William B. Johnson
  • William B. Rouse

Tags

Communities of Interest

  • Biomedical
  • Engineered Resilient Systems
  • Human Systems

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Cognitive Systems Engineering
  • Complex Systems
  • Computational Science
  • Databases
  • Engineers
  • Human Factors Engineering
  • Human Systems Integration
  • Human-Machine Interaction
  • Human-Machine Systems
  • Information Processing
  • Maintenance
  • Maintenance Personnel
  • Operations Research
  • Psychology
  • Systems Engineering
  • Test And Evaluation

Readers

  • Computational Modeling and Simulation
  • Life Cycle Cost Analysis