A framework for intelligent Fusion Of Real-Time Measures Across Live-Virtual-Constructive Environments (FORMAL)

While billions of dollars have been spent over the past several years on the development of training systems, testing infrastructures, and Live-Virtual-Constructive (LVC) interoperability, there is still no common approach to objective human performance measurement. The purpose, after all, of a Distributed Mission Operations environment is to deliver comprehensive training exercises to the warfighter, to improve warfighter competencies, skills, and knowledge. The reliable and valid objective measurement of individual and team performance within these environments is crucial to identifying the true impact of such exercises on warfighter readiness. To address the need for improved objective human performance assessment, we propose to design and demonstrate a framework for intelligent Fusion Of Real-Time Measures Across Live-Virtual-Constructive Environments (FORMAL). The primary goal of our FORMAL framework is to design seamless, scalable, and sustainable technology for defining, capturing, and disseminating complex continuous human performance objects across heterogeneous data environments. To accomplish this goal, we will leverage our unique experience in both data fusion systems and human performance assessment to design a framework that uses of best-of-breed computational intelligence methods and cutting-edge data storage and access techniques to capture, aggregate, correlate, distribute and share objective performance measures.