METOC Human-System Information Interaction

Abstract

The long-term goal of this effort is to improve the effectiveness of METOC information flow to the tactical users. This information flow includes both the data flow from the data sources to the METOC forecasters and the environmental impact information flow to the warfighters. As part of the 1 information flow, the project intends to understand how forecasters use complex visualizations to make a forecast, and to improve their workflow, visualization usage, and tools to increase the accuracy of their forecasts and decrease the time spent making a forecast. To achieve this goal, key components of a prototype system will be developed to test the hypotheses and refine theories of the information flow. Ultimately, the prototype of the information flow model will be transitioned to the METOC community for operational use and application in the warfare areas. This information interaction model can also be used by the research, development, acquisition, and training communities to identify where significant improvements can be made and to help identify metrics to evaluate the value of the improvements.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2001
Accession Number
ADA626433

Entities

People

  • Bob Miyamoto
  • Greg Trafton
  • Jim Ballas
  • Nick Gizzi
  • Sandra Marshall
  • Susan Kirschenbaum
  • Ted Tsui

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Ground and Sea Platforms
  • Human Systems

DTIC Thesaurus Topics

  • Acquisition
  • Cognition
  • Cognitive Workload
  • Communities
  • Environment
  • Hypotheses
  • Models
  • Naval Operations
  • Navy
  • Observation
  • Personnel Management
  • Prototypes
  • Research Facilities
  • Situational Awareness
  • Training
  • Uss Carl Vinson
  • Visualizations

Fields of Study

  • Computer science

Readers

  • Atmospheric Science/Meteorology
  • Distributed Systems and Data Platform Development
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.