Visualizing Non-Physical, Logical Constructs for Command Decision Support

Abstract

In recent years research in Data Fusion and Visualization science has focused on understanding physical environments and data types. Advanced visualization techniques including VR and other related technologies have succeeded in providing meaningful outputs. However many abstract concepts are beyond traditional modes of display and hence require new paradigms in visualization. Our objective is to present an organized, provocative introductory presentation regarding the definitions and ontological structure of such non-physical concepts as well as possible means for visualizing/ communicating their states as a framework to encourage lively discussions among military staff and research scientists on approaches for both computing the estimated value of and for efficiently communicating/visualizing the results of fusion-based estimates of these conceptual states. Through such discussion, it is hoped that a NATO consensus can be established on the issues surrounding this important topic, and also that agreement can be established on additional research needed to both better understand this topical area and to develop effective visualization/communication methods.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2004
Accession Number
ADA427984

Entities

People

  • James Llinas
  • T. Kesavadas

Organizations

  • University at Buffalo

Tags

Communities of Interest

  • Air Platforms
  • Human Systems
  • Sensors
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Aircrafts
  • Battle Damage Assessment
  • Data Fusion
  • Deployment
  • Engineering
  • Fixed Wing Aircraft
  • Information Science
  • Information Systems
  • Knowledge Management
  • Logistics
  • Logistics Support
  • Operational Readiness
  • Order Of Battle
  • Situational Awareness
  • Visualizations
  • Warfare

Readers

  • Military History of the United States in the 20th Century.
  • Systems Analysis and Design
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.