3 edition of Battle Command Visualization 101 found in the catalog.

Battle Command Visualization 101

prototype embedded training on networked sensors

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Published by Administrator in U.S. Army Research Institute for the Behavioral and Social Sciences

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  • United States
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    • U.S. Army Research Institute for the Behavioral and Social Sciences


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      • December 2004.Army project number 2O262785A790.Includes bibliographical references (p. 31-32).Approved for public release; distribution is unlimited.Also available online.Contract or grant no.: DASW01-99-D-0012 DO0024.

        StatementU.S. Army Research Institute for the Behavioral and Social Sciences
        PublishersU.S. Army Research Institute for the Behavioral and Social Sciences
        Classifications
        LC Classifications2004
        The Physical Object
        Paginationxvi, 52 p. :
        Number of Pages65
        ID Numbers
        ISBN 10nodata
        Series
        1
        2Research report (U.S. Army Research Institute for the Behavioral and Social Sciences) -- 1830.
        3Research report -- 1830.

        The anticipated ability of the Future Force to See First requires proactive research to transform the emerging concepts of embedded training and networked sensors into assets. This report documents initial research on an innovative training program to provide small unit commanders the tactical and technical skills needed to exploit networked sensors to meet the See First objective. The research addressed three areas: design of a prototype embedded training program on networked sensors, design of a subset of training exercises for the training program, and development of those exercises in a prototype command and control (C2) system compatible with virtual simulation. Design and development stressed a structured training approach with progressive simulation-based exercises. A representative subset of 20 exercises were developed that focused on exploiting an array of networked sensors on unmanned air vehicles (UAVs) to support the commanders critical information requirements. Results provide lessons learned on technology dependent training that will be used to refine and extend the prototype training on employing networked sensors, and that may apply to the Armys ongoing effort to develop embedded training for the Future Force. File Size: 2MB.


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An ad hoc -sized team that included division commander Maj.

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