User Information Fusion Decision Making Analysis with the C-OODA Model

Abstract

For pragmatic information fusion system design and analysis, the user (commander or operator/analyst) needs information in a timely manner to conduct actionable intelligence. With the development of complex information fusion systems, the user still provides valuable inputs to the information fusion system in contextual reasoning and situation understanding. In this paper, we describe the Cognitive Observe-Orient-Decide-Act (C-OODA) model as a method of user and team analysis in the context of the Data Fusion Information Group (DFIG) Information Fusion Model. From the DFIG model [as an update to the Joint Directors of the Lab (JDL) model], we look at Level 5 Fusion of "user refinement" in the context of timely decision making. Using control theory, we present an example of user timeliness assessment in an information fusion decision making model analysis. We model the information input delays in reaching a decision and the action output delays in executing the decision. The C-OODA comparisons to the DFIG model support systems evaluation and analysis as well as coordinating the time interval of interaction between the machine processing (e.g. information fusion) and user processing (e.g. perception and reasoning).

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2011
Accession Number
ADA565905

Entities

People

  • Eloi Bosse
  • Erik P. Blasch
  • Pierre Valin
  • Richard Breton

Organizations

  • DRDC Valcartier

Tags

Communities of Interest

  • C4I
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Cognition
  • Command And Control
  • Control Systems
  • Control Theory
  • Data Fusion
  • Data Processing
  • Information Processing
  • Information Systems
  • Knowledge Management
  • Military Research
  • Object Recognition
  • Perception
  • Reasoning
  • Recognition
  • Situational Awareness
  • Target Recognition

Fields of Study

  • Computer science

Readers

  • Computational Modeling and Simulation
  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.