To complement capabilities of future autonomous systems, the Air Force requires interoperable tools & methodologies to design, verify, validate, assess & operate human-machine system interactions associated with autonomous and manned systems integration. Often the human performance measures and status of each simulation is reported independently making it challenging to analyze the data. What is needed is an approach that has the ability to interface with multiple sources of data from these simulations, aggregate and display them in a common display picture for real-time status and after action review (AAR). Building upon the teams current research into creating a common interface with the capability to process and visualize data from multiple sources and Perducos ongoing research into an open architecture data structure for the gathering, aggregating, storing, analysis, and reporting of human performance data. The Perduco Group has teamed with the Charles Draper Laboratory to demonstrate a front end visualization and data storage methodology to interface with the simulation analytics. This program will demonstrate a methodology and architecture with the capability to receive, store, analyze, and visualize simulation data.
Benefits: The most applicable market and commercial application is in aviation simulation and training. The need that this will address is the ability to collect and store performance data from multiple simulators/inputs in a single system for analysis and reporting.
Keywords: simulation, training, analytics, visualization, database, aggregation
