Reusable and Adaptable Cognitive Decision Aids Components For Remote Weapon Stations

For an operator to optimize the tactical execution and collaboration of unmanned systems (UMSs), not only must pertinent situational awareness and intelligence data be presented to him in an effective manner, but active cognitive decision aids (CDAs) must assist and enhance his judgment skills and expedite his actions. A scalable, extensible, open, configurable and adaptable architecture for the operator control unit (OCU) is needed to facilitate the insertion of cognitive decision aid (CDA) and other components to support a wide range of UMS missions with diverse platform mechanisms and sensor package configurations. The architecture must be scalable, not only at the component level, but at the thread level. The architecture must accommodate the insertion of distributable components for network scalability as well as resident components that can be assigned dynamically to execute on individual processor cores to balance workloads and enhance thread parallelism for platform scalability. This program aims to develop the required OCU architecture and fully implement key reusable CDA components that abstract situational awareness and intelligence data to provide operator guidance while performing multiplatform collaborative missions.