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After Action Review (AAR) systems for distributed simulations typically concentrate on the analysis of a single exercise. The Institute for Defense Analyses (IDA) has developed techniques, analytic processes, and data visualization tools for analyzing simulation data from multiple exercises. This paper will highlight the different analytic approaches and visualization techniques developed under IDA's Virtual Training Repository Case Study, as well as provide "lessons learned" for the distributed simulation community. The year-long effort was funded under DARPA's Computer Aided Education and Training Initiative (CAETI) and used the Army's Virtual Training Program (VTP) at Ft. Knox to supply data for the prototype repository.
The tools and approaches developed under this program are being integrated into TARGET (Training Analysis Repository and Graphical Evaluation Toolset). TARGET uses a reduced set of simulation training data and a graphical user interface to provide a means of displaying different Measures of Performance (MOPs). Graphing tools provide bar charts and event-based timelines, regression analysis tools search for relationships in the data, and a 2D Battle Viewer capability allows users to playback one of more training exercises in user-defined time steps. Color tracks show vehicle formation, as well as, shot, hit, and kill data.
