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ESD Research Domains
ESD Research Approaches
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Complex systems are typically managed by difficult-to-supervise
teams of human controllers. Feedback about interactions between
team members, as well as with the system, may not be observable,
and such critical collaboration factors as team knowledge and
shared cognition are difficult to assess in real time.
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NASA’s
control room of the International Space Station exemplifies
how human beings are increasingly required to work with
multiple layers of technology.
Image courtesy of NASA
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The goal of this project is to build models of team
behaviors able not only to recognize the current state of a team
supervising automation in real time, but also to predict future
states of this team. Specifically, the team models are based upon
the observation of behavioral patterns at both the individual
and collective levels. A main contribution of this project will
be to determine the robustness of the prediction of future team
behaviors based on observing social patterns of collaboration.
This project is therefore at the intersection between artificial
intelligence and social sciences. G iven the prevalence of team
interaction with many complex systems such as air traffic control,
disaster first response, and military command and control, this
research is relevant to numerous high-risk
critical systems.
Boussemart, Y., & M.L. Cummings, “Behavioral
Recognition and Prediction of an Operator Supervising Multiple
Heterogeneous Unmanned Vehicles,” H umans Operating U nmanned
Systems `08, S eptember 3–4, 2008, B rest, F rance.
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