Service for Adaptive Rendering Through Intelligent Situation Assessment Techniques (ARTIST) Navy SBIR FY2010.2 Sol No.: Navy SBIR FY2010.2 Topic No.: N102-158 Topic Title: Service for Adaptive Rendering Through Intelligent Situation Assessment Techniques (ARTIST) Proposal No.: N102-158-0433 Firm: Charles River Analytics Inc. 625 Mount Auburn Street Cambridge, Massachusetts 02138 Contact: Wayne Thornton Phone: (617) 491-3474 Web Site: www.cra.com Abstract: Anti-Submarine Warfare (ASW) is a vital strategic concern, as adversary submarines can pose considerable danger to U.S. forces and seaborne lines of communication. The undersea environment is complex and variable, and provides advantages to ASW threats. While relevant surface pictures can emerge rapidly, ASW threat information is often intermittent and ambiguous. ASW Commanders (ASWCs) must incorporate both incoming information and meta-information-qualifiers related to contact data, such as ambiguity, timeliness, or localization uncertainty-to maintain the awareness needed to detect and react to easily overlooked ASW threats. Providing better displays requires not only enhancing existing contact visualizations/plots based on a model of the ASWC's decision process, but also including more advanced displays for visualizing complex information essential to this decision process. To address these requirements, we propose to design and demonstrate the feasibility of a service for Adaptive Rendering Through Intelligent Situation Assessment Techniques (ARTIST). ARTIST uses agent-based reasoning models of the expert ASWC decision process to adaptively drive the display and filtering of essential information and meta-information. Our approach incorporates enhanced contact displays-within the constraints of existing displays-and new, innovative displays for visualizing complex information not currently available to ASWCs but nevertheless essential in their decision process. Benefits: ARTIST will have immediate and tangible benefits for ASW. It will provide better displays to enhance the operational awareness of the ASWC and other watchstanders in the ASW Module, thereby supporting faster detect-to-engage timelines. To achieve these benefits, we intend to integrate ARTIST adaptive displays within legacy systems for ASW. In addition, because ARTIST is based on an expert ASWC decision-process model, it can be recast as a tool for training future ASWCs and ASW Module watchstanders. Furthermore, the underlying analysis and displays developed for ARTIST can support other military organizations and Federal agencies, for example, in air traffic management or homeland defense operations. Finally, ARTIST provides a number of significant enhancements to our commercial DRIVET visualization toolkit, integrating it into a service-oriented architecture to provide contact rendering directives for external displays and providing intelligent agent technology for adapting display features. Return