Tool for enhancing operator Appreciation of socio-Cultural information through Intelligent agent-based Training (TACIT)

The ability to classify threats is dependent on a mission planner’s ability to integrate various categories of information. Socio-cultural information represents one information type that while important has traditionally been ignored by systems developers seeking to enhance the training capabilities of operators. To address these shortcomings, we propose to design and demonstrate the Tool for enhancing Appreciation of socio-Cultural information through Intelligent agent-based Training (TACIT), to significantly improve the decision-making capability of mission planners. Three core components characterize our approach. First, we will perform a work domain analysis in the context of a realistic scenario to understand what types of socio-cultural information mission planners can and should reason about, develop training regiments addressing difficulties faced by these operators, develop a knowledge base of sources and categories of information and provide insight into existing training and its shortcomings. Second, we will design and demonstrate an agent-based instruction system that integrates intelligent training techniques, visualization concepts for representing socio-cultural information, and that includes user interfaces for the design of training scenarios. Third, we will validate our approach to training and develop measures for operator assessment. We will leverage our team’s expertise in training, visualization and intelligent agent development to rapidly demonstrate TACIT.