Partnering with technology: the importance of human machine teaming in future MDC2 systems

J. Klamm; C. Dominguez; B. Yost; P. McDermott; M. Lenox

doi:10.1117/12.2518750

10 May 2019 Partnering with technology: the importance of human machine teaming in future MDC2 systems

J. Klamm, C. Dominguez, B. Yost, P. McDermott, M. Lenox

Proceedings Volume 11006, Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications; 110060R (2019) https://doi.org/10.1117/12.2518750
Event: SPIE Defense + Commercial Sensing, 2019, Baltimore, MD, United States

Abstract

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 MDC2 systems. 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 thematic coding. User stories and future concept ideas were created from the interview data. The authors designed and delivered annotated mock-ups to reflect those concepts; they are in process of being incorporated into a software prototype. The designs 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 exploration environment for FY19 and beyond. Products from this work include insights for how technology should support MDC2 planning and decision making, user stories capturing those insights and mock-up graphical concepts, and a set of design seeds for a future MDC2 Common Operational Picture, including layers, content, and other capabilities towards decision support.

Citation Download Citation

J. Klamm, C. Dominguez, B. Yost, P. McDermott, and M. Lenox "Partnering with technology: the importance of human machine teaming in future MDC2 systems", Proc. SPIE 11006, Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications, 110060R (10 May 2019); https://doi.org/10.1117/12.2518750

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KEYWORDS

Artificial intelligence

Human-machine interfaces

Prototyping

Machine learning

Analytical research

Systems engineering

Cognition

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