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Blended Reality Solution for Live, Virtual, and Constructive Field Training

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8650-17-P-6857
Agency Tracking Number: F17A-011-0022
Amount: $149,941.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: AF17A-T011
Solicitation Number: 2017.0
Timeline
Solicitation Year: 2017
Award Year: 2017
Award Start Date (Proposal Award Date): 2017-08-25
Award End Date (Contract End Date): 2018-06-01
Small Business Information
7120 Trillium Ct
Owens Cross Roads, AL 35763
United States
DUNS: 790032028
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Michael Sutton
 Project Manager
 (256) 604-8145
 msutton@msci-us.com
Business Contact
 Cynthia Sutton
Phone: (256) 694-3219
Email: csutton@msci-us.com
Research Institution
 University of Alabama in Huntsville
 Dr. Gary Maddux
 
301 Sparkman Drive
Huntsville, AL 35899
United States

 (256) 975-7936
 Nonprofit college or university
Abstract

The proposed Small Business Technology Transfer (STTR) Phase I project will determine the technical feasibility and cost-effectiveness of utilizing emerging blended-reality technologies that enable interoperability with LVC simulations to create more effective and comprehensive Battlefield Airmen training environments. The proposed training technologies will be integrated across multiple platforms (i.e., see-through display goggles, mobile devices/sensors, and wearable computers). The proposed project covers system conceptualization, model development, and evaluation of effectiveness of these integrated technologies. The proposed plan optimizes the inter-relationship of tactical training objectives and realistic operational environments with blended-reality LVC systems. The intention is that through this multifaceted perspective, we may better encompass the essential Pararescue training requirements across a complete mission profile. Along with the technical innovations, we will formulate comprehensive evaluation plans that critically assess the usability of the technology (via System Usability Scale and human factors assessments), the effectiveness of technologies (via within-subjects and between-groups design of field experiments), and the proposed theoretical model and research hypotheses (via engineering trade studies or structural equation modeling). The project is expected to result in an technically advanced and commercially viable system design, powered by robust scene generation algorithms with relevant embedded entity behavioral models.

* Information listed above is at the time of submission. *

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