Live, Virtual, and Constructive (LVC) Common Performance Measurement Development, Tracking, and Warehousing System

With the migration towards integrated LVC training there is an increasing need to understand human performance both within and across systems and environments. The problem with current data formats is that they are often incompatible, with no common specification across training environments and systems. As a result, it is nearly impossible to effectively and efficiently identify, generate, extract, and track performance data across LVC environments and systems, thus hindering current efforts to assess trainees’ performance as they interact with live, virtual, and constructive components of an exercise. Col. Louis Olinto, Commander of the AF Agency for Modeling and Simulation, suggests “no longer is there an option for stand-alone systems”. We argue this statement applies to stand-alone and incompatible data formats as well, and is why we will develop a system that enables development, analysis, and usability of integrated performance data from LVC environments in support of performance assessment and review by achieving (1) a universal tagging specification for extracting performance data, (2) an integrated warehousing system for performance data, (3) a common method for identifying the data type (system, observer, communication) and source (LVC) needed to produce useful and integrated measurement, and (4) a method for presenting integrated performance data.