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 Commanders intent and the current operational context. We propose to develop and evaluate a full-scope prototype 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 Commanders 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. BENEFIT: We anticipate several potential government transition opportunities, including to programs such as the DCGS-AF (Distributed Common Ground SystemAir Force), which integrates multiple intelligence systems into a single, worldwide network-centric enterprise, enabling interoperability and improved collection and delivery of ISR data. We also anticipate incorporating technologies that support selective sensing, perceptual data processing, and meta-information visualization into our commercial agent-development toolkit, AgentWorks. Additionally, technologies to support human-guided sensor planning will enhance our commercial evolutionary algorithm development toolkit, EAToolkit.
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CHARLES RIVER ANALYTICS, INC.
625 Mount Auburn Street Cambridge, MA -
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