Experimental Design Analysis of U.S. Army Command and Control Systems With the Cadre Tool

Abstract

Previous work has involved experimental design interrogation of a series of computer models of human task and workload performance in military command and control (C2) systems. These models, called Computer modeling Of Human Operator System Tasks (CoHOST) (Middlebrooks et al., 1999), have shown a dramatic need for some tool to assist experimental designers in efforts to establish effective experiments. Specific needs include the collection of data in a manner that minimizes the amount of data required while maximizing the effectiveness and power of the data. A desktop tool called Computer-Aided Design Reference for Experiments (CADRE) was developed for this purpose. The CADRE tool includes over 850 pages of reference material covering 25 topics that are divided into five major sections including an introduction to experimental design, supplemental data collection design and analysis, basic analysis of variance (ANOVA) designs, advanced ANOVA designs, and empirical model building. In addition, the CADRE tool contains over 200 pages explaining 39 examples of statistical analyses covered in the reference material and is hyperlinked to Version 9.1.3 of the SAS statistical analysis package. The CADRE tool can be used for choosing experimental design procedures to interrogate and build empirical models in support of complex studies such as future C2 systems computer simulations.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2006
Accession Number
ADA482155

Entities

People

  • Robert C. Williges
  • Sam E. Middlebrooks

Organizations

  • Virginia Tech

Tags

DTIC Thesaurus Topics

  • Analysis Of Variance
  • Command And Control
  • Command And Control Systems
  • Complex Systems
  • Computational Science
  • Computers
  • Data Science
  • Databases
  • Experimental Design
  • Information Science
  • Knowledge Management
  • Materials
  • Simulations
  • Statistical Analysis
  • Statistics
  • Surveys
  • Systems Engineering

Fields of Study

  • Computer science

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Business Analytics
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • Fully Networked C3
  • Fully Networked C3 - Command and Control