VIEW: Visualization and Interactive Elicitation Workstation -- A Tool for Representing the Commander's Mental Model of the Battlefield.

Abstract

This research assessed development of a Visualization and Interactive Elicitation Workstation (VIEW) for inferring and representing mental models of the battlefield. The prototype is composed of two subsystems: a Visualization subsystem and a Knowledge Elicitation (KE) subsystem. The Visualization subsystem is composed of three interlinked modules: (1) a Tactical Visualization Interface providing liked displays for visualizing the battlefield; (2) an Object Database providing a common object representation for environmental and military entities: and (3) an Object World Model providing behaviors for objects in the database. The KE subsystem is composed of two linked modules: (1) the KE interface which navigates across direct indirect and observational techniques collection of elicited data, and KE analysis results: and (2) the KE Recording/Analysis Module, which records the elicited data. A demonstration illustrates coupling between the visualization and elicitation components and support of direct and indirect mental model examination. Direct techniques use a case-based interview format: indirect techniques include repertory grid analysis, multidimensional scaling, and hierarchical cluster analysis.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1996
Accession Number
ADA322458

Entities

People

  • Christine Illgen
  • Greg Zacharias
  • Jake Yara
  • Mehran Asdigha

Tags

Communities of Interest

  • Biomedical
  • C4I
  • Human Systems
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Defense
  • Artificial Intelligence
  • Basic Programming Language
  • Cognition
  • Cognitive Science
  • Computer Programming
  • Computers
  • Database Management Systems
  • Databases
  • Expert Systems
  • Information Processing
  • Object-Oriented Database Management Systems
  • Operating Systems
  • Psychology
  • Software Development
  • Three Dimensional
  • Two Dimensional

Fields of Study

  • Engineering

Readers

  • Artificial Intelligence
  • Database Systems and Applications
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML