Training Cognitive Situational Awareness for Multi-Platform Command and Control

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$749,920.00
Award Year:
2011
Program:
SBIR
Phase:
Phase II
Contract:
N00024-11-C-4119
Agency Tracking Number:
N092-136-0265
Solicitation Year:
2009
Solicitation Topic Code:
N092-136
Solicitation Number:
2009.2
Small Business Information
Adaptive Methods, Inc
5885 Trinity Parkway, Suite 230, Centreville, VA, -
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
135121148
Principal Investigator:
Joe Elder
Principal Investigator
(703) 968-8040
jelder@adaptivemethods.com
Business Contact:
Judy Barhorst
Director of Contracts
(703) 968-8040
jbarhorst@adaptivemethods.com
Research Institution:
Stub




Abstract
This proposal recognizes the complexity of Situational Awareness (SA) in the context of information base warfare paradigms. The principal objective of the Phase II effort is to prototype an innovated"binary"approach to establish SA scoring. Our approach breaks down complex problems into identifiable measurable elements. Plausible tactical scenarios are established. Detailed SA elements are defined to measures if salient features in the problem space are perceived. The Phase II effort prototypes a Web-based SA measurement assessment tool (SAMAT) to host SA measurement curriculum. SAMAT supports controls that support start; pause; and step-through actions at desired SA measurement points. Experimentation is performed where SAMAT exercises synchronized scenarios across multiple USWDSS nodes using a scaled version of the USWDSS Build 2 Classroom Trainer (CRT) Tactical Training Environment (TTE). In the current shipboard environment USW-DSS users communicate with shipmate"s through RF channels and chat to the ship"s bridge, sonar, etc. Current training systems are not immersive they do not model these communication elements. The Phase II prototype establishes a framework to support the injection of audio queuing into the prototyped training system. Upon completion of the experiment, analysis determines the viability of extending USW-DSS training to support automated SA measurement assessment.

* information listed above is at the time of submission.

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