Publication

ABSTRACT:

We envision a future where engineers, analysts, and decision makers are immersed in highly interactive model-centric environments using digital system models as a primary basis for system decisions. While significant progress on modeling languages, modeling practices, and modeling methods has been achieved, insufficient attention has been given to the necessary interactivity between humans and models. Given emerging modeling toolsets, availability of powerful computational resources, and autonomous decision-aiding, the human role in relationship to models must be re-examined.

In this talk, Dr. Rhodes and Dr. Ross share findings and insights from the ongoing SERC project on Interactive Model-Centric Systems Engineering (IMCSE).  The research is motivated by the need to better understand and enable effective “human-model teaming”, while drawing from advancements in data science, visual analytics, and growing knowledge of complex systems. Open areas of inquiry include: how and why individuals interact with models; how multiple stakeholders interact while using models and model generated information; facets of human interaction with visualization tools and large data sets; and underlying fundamentals such as the role of trust in model-centric decision making.  The research program uses multiple approaches to investigate the topic including empirical studies, experiments, model-based studies, case studies, and demonstration prototypes.  In addition to the specific goals and activities, an underlying objective is to bring together the community of researchers and practitioners involved in this emerging subfield of human-model interaction.

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