To make progress in applying technological advancements towards multi-domain command and control (MDC2),including user-facing data collection and evaluation is critical but made more difficult by the lack of existing MDC2systems. To address these challenges, we used a two-pronged approach that blended HMT Systems Engineering (SE)insights on designing user interfaces for artificial intelligence (AI) with MDC2 common operational picture (COP)research. We interviewed C2 operators using modified cognitive task analysis methods and analyzed data via thematiccoding. User stories and future concept ideas were created from the interview data. The authors designed and deliveredannotated mock-ups to reflect those concepts; they are in process of being incorporated into a software prototype. Thedesigns were iteratively refined based on feedback from operators. The HMT SE guide, future concepts, annotated mockups,and prototypes are being shared with sponsors and used as foundational input for MITRE’s MDC2 explorationenvironment for FY19 and beyond. Products from this work include insights for how technology should support MDC2planning and decision making, user stories capturing those insights and mock-up graphical concepts, and a set of designseeds for a future MDC2 Common Operational Picture, including layers, content, and other capabilities towards decisionsupport.
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