The GI2Viz tool was created to assist intelligence analysts in determining the proper visualization of their data based on decisions they need to make with the data. The tool allows users to inspect all visualization techniques and view the decision support they provide or dynamically search for a visualization that fits their specific needs. The tool provides users with detailed information about how well visualizations match their search criteria and information about any additional support provided by that visualization technique. This helps the user evaluate the tradeoffs between various visualization techniques. Once a visualization is selected, the tool provides the user with instructions on how to correctly instantiate the visualization using representational design principles.
Read the White paper (.doc)
Read the User Manual (.doc)
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RCS has the capability to design and develop visualizations to integrate with complex algorithms developed by other organizations. Specifically, the RCS has developed visualizations for an agent-based reasoning tool designed for knowledge discovery within a massive intelligence knowledge base. The visualization provided the algorithm developer significant insights into their automation technology based on the observability provided by the RCS’s portrayal of information. The RCS’s designs routinely provide operators with the ability to understand key relationships in the massive database and have a significantly increased understanding of the automation and how it is performing its knowledge discovery task. In addition the RCS team’s expertise has resulted in the development of novel interaction components that enable operators to direct the automation in a way never-before possible.

RCS has developed specific decision support concepts that provide an entirely new generation of Operator Control Units (OCU) for teleoperated robotic platforms. Specifically designed from operational lessons learned in Urban Search and Rescue, current fielded UAVs, and other UGVs, the application of Cognitive Systems Engineering has improved the coordination of the robot operator and the payload/mission specialist(s) without increasing the sensor package or bandwidth requirements while simultaneously improving the mission performance and platform survivability. This application of Cognitive Systems Engineering to teleoperations OCUs is unique in the world.