Architecture for Perceptual Sensing and Information Displays (PERSEID)

The evolution of Intelligence, Surveillance and Reconnaissance (ISR) technologies and their integration into network-centric operations has provided significant advances in providing critical information to C2ISR operators and the Commanders that they support. However, these sensors gather so much data that the C2ISR operators are becoming overwhelmed and actionable intelligence is being lost in the wave of data. The solution to this problem is not to attempt to replace the human operator, but to leave humans to do what they do well while providing attention-focusing decision support systems that are able to reason about the Commander’s intent and the current operational context. We propose to design and demonstrate the feasibility of an architecture for Perceptual Sensing and Information Displays (PERSEID). PERSEID provides an integrated human/machine approach to creating decision aids that assist C2ISR operators. PERSEID provides an intuitive interface for C2ISR operators to describe the Commander’s intent and relevant contextual information that the system incorporates into its C2ISR support tasks. PERSEID uses technologies and methodologies from the areas of cognitive modeling, evolutionary algorithms, and information/meta-information display to draw the attention of the operator to the most salient information.