A Hybrid Approach to Cognitive Engineering: Supporting Development of a Revolutionary Warfighter-Centered Command and Control System

Abstract

Traditional cognitive engineering approaches do not adequately address the breadth of human performance issues in revolutionary Command and Control (C2) systems. Consequently, a best practices approach has been developed. This paper describes an integrated cognitive engineering approach the Effects-based Decision Analysis Methodology (EDAM) for the requirements analysis and design of revolutionary command and control systems and domains. This hybrid approach uses knowledge elicitation and representation techniques from several current cognitive engineering methodologies. The techniques were chosen to allow for decision analysis in the absence of an existing similar system or domain. EDAM focuses on the likely system or domain constraints and the decisions required within that structure independent of technology, existing or planned.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2005
Accession Number
ADA463763

Entities

People

  • Jennifer A. Mckneely
  • Jennifer Ockerman
  • Nathan Koterba

Organizations

  • Johns Hopkins University

Tags

Communities of Interest

  • C4I
  • Human Systems

DTIC Thesaurus Topics

  • Cognitive Systems Engineering
  • Command And Control
  • Command And Control Systems
  • Control Systems
  • Engineering
  • Engineers
  • Human Factors Engineering
  • Human Systems Integration
  • Industrial Engineering
  • Mechatronic Engineering
  • Operations Research
  • Organizational Structure
  • Psychology
  • Situational Awareness
  • Software Prototyping
  • Systems Engineering
  • User Interface Engineering

Fields of Study

  • Engineering

Readers

  • Software Engineering.
  • Systems Analysis and Design

Technology Areas

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