Integrating Information from Multiple Sources: Expert Decision Making Procedures

Abstract

Battlespace Management systems are often developed by decomposing the problem into separate functions. For example, the battle scene is decomposed into intelligence reports, sensor displays for each sensor, contact tracks for each sensor contact, environmental (weather, oceanography) conditions and predictions, sensor effectiveness predictions, geophysical/ physical oceanographic pictures, etc. Once the problem has been decomposed and analyzed, the decision maker must put it back together in a mental information fusion process, integrating information. The tools to help the expert decision maker re-fuse the problem are far fewer and more difficult to develop than the tools to decompose. The research reported here takes an alternative approach by providing information displays that cluster and integrate information according to the expert decision maker's knowledge schema and procedural structure. A complex, time-dependant (but non-military) test domain with multiple conflicting goals was selected. Functional partitioning required greater effort while procedurally based information-clustering resulted in more efficient (timely and accurate) decision making.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2000
Accession Number
ADP010696

Entities

People

  • Susan S. Kirschenbaum

Organizations

  • Naval Undersea Warfare Center

Tags

Communities of Interest

  • Human Systems
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Applied Psychology
  • Battle Management
  • Cognitive Science
  • Data Displays
  • Engineering
  • Human-Machine Interaction
  • Information Processing
  • Information Systems
  • Instructors
  • Notation
  • Organizational Structure
  • Psychology
  • Scheduling (Production)
  • Standards
  • Students
  • Undersea Warfare

Readers

  • Computer Vision.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.