Adaptive Gaming and Training Environment for Maintenance Operations

Award Information
Department of Defense
Air Force
Award Year:
Phase I
Agency Tracking Number:
Solicitation Year:
Solicitation Topic Code:
Solicitation Number:
Small Business Information
Sonalysts, Inc.
215 Parkway North, P.O. Box 280, Waterford, CT, -
Hubzone Owned:
Socially and Economically Disadvantaged:
Woman Owned:
Principal Investigator:
Robert Kurzawa
Principal Investigator
(860) 326-3902
Business Contact:
Sara Theriault
Contracting Officer
(860) 326-3634
Research Institution:

ABSTRACT: Sonalysts, Inc. proposes to provide the Air Force with a low cost reconfigurable"Standard Adaptive Maintenance"(SAM) trainer that uniquely integrates game engine Artificial Intelligence (AI), real-time scenario generation, Interactive Multimedia Instruction (IMI), Interactive Electronic Technical Manuals (IETMs), event management, performance tracking tools and event/goal trigger mechanisms for adapting content based on performance and level of underlying knowledge about the system or subsystem. The objective of Phase I will be the development of a SAM Trainer"Proof-of-Concept"that will demonstrate the feasibility of adapting commercial game technology to support adaptive training, as well as the codification of technical specifications based on Sonalysts"CMMI Level 3 requirements and design phases. The Sonalysts research project team has pertinent experience in military operations, commercial gaming, advanced training, and IETM technologies. This research project will provide the U.S. Air Force with a new Continuous Learning capability that closes the current gap between the instructional adaptability and fidelity of current maintenance training systems and the complex demands of learning how to troubleshoot and maintain modern aircraft systems and subsystems. BENEFIT: This research project will provide Air Force with a new, lower cost, adaptive, standard trainer capability providing Air Force with the value of: A reduction in development, delivery, and sustainment costs as a result of the use of a"standard,"reconfigurable training platform. Improved underlying student and expert modeling approach to improve the adaptive context for learning without the development of a full intelligent tutor with the instantiation of learning adaptation based on game AI and real-time authoring. A reduction in time/overhead spent developing physical representations of equipment through the use of common and mission-specific libraries. The ability to leverage IMI and IETMs within a game engine framework. The ability to Reduce Total Ownership Costs (R-TOCs) in this fashion will demonstrate a direct benefit to other Air Force and DoD agencies.

* information listed above is at the time of submission.

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