Making Sense of Sensemaking: Requirements of a Cognitive Analysis to Support C2 Decision Support System Design

Abstract

Conducting a Cognitive Analysis to adequately support a follow-on design effort for innovative decision support tools is a tall order and requires specific properties to exist in the CTA in order to be successful. This paper outlines requirements for analytical methodologies to satisfy this need. These requirements are based on several premises. The first premise is that a representation shapes cognition and collaboration, which guide behavior. This is known as the Representation Effect (Norman, 1993). The representation effect summarizes a widespread psychological result that the content and context of a problem representation (i.e. its reflection in the design of user interface) can radically alter a decision-maker's responses. Thus, how a command and control system is designed influences the cognitive work that needs to be accomplished, either improving or degrading sense making performance. The second premise is that the representation must reflect the essential characteristics of the work domain. That is, the relationship (or mapping) between the visual structure established by a particular representation and the underlying constraints and relationships within the work domain itself is fundamental to the decision-maker's effectiveness when using the visualization. Without an explicit specification of this mapping, it is impossible to determine if the visualizations are supporting user's needs as intended, or, making the supported task more difficult (Zhang, 1997). Woods (1991) has called this the Mapping Principle.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2006
Accession Number
ADA463375

Entities

People

  • James W. Gualtieri
  • Scott S. Potter
  • William C. Elm

Tags

Communities of Interest

  • C4I
  • Engineered Resilient Systems
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Cognitive Systems Engineering
  • Command And Control
  • Complex Systems
  • Control Systems
  • Countermobility
  • Decision Support Systems
  • Engineering
  • Human Factors Engineering
  • Human Systems Integration
  • Indirect Fire
  • Information Processing
  • Information Transfer
  • Psychology
  • Real Estate
  • Situational Awareness
  • Systems Engineering
  • Task Performance And Analysis

Fields of Study

  • Computer science

Readers

  • Artificial Intelligence
  • Database Systems and Applications
  • Systems Analysis and Design

Technology Areas

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