Dr. Sean M. Fitzhugh Profile

Dr. Sean M. Fitzhugh

at US Army Research Lab

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Proceedings Article | 10 May 2019 Presentation + Paper

A framework for enhancing human-agent teamwork through adaptive individualized technologies

Addison Bohannon, Sean Fitzhugh, Arwen DeCostanza

Proceedings Volume 11006, 110060Y (2019) https://doi.org/10.1117/12.2519066

KEYWORDS: Dynamical systems, Systems modeling, Data modeling, Intelligence systems, Machine learning, Complex adaptive systems, Control systems

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Future military operations will require teams of Soldiers and intelligent systems to plan and execute collective action in a dynamic and adversarial environment. In human teams, teamwork processes such as effective communication and shared understanding underlie effective team performance. Recent work proposes a vision for generalizing this theory to human-agent teams and facilitating teamwork via individualized, adaptive technologies. We propose a dynamical system model to understand how individualized, adaptive technology can facilitate teamwork in human-agent teams. The model reveals three scientific challenges: describing the dynamics of team state, understanding how technological interventions will manifest in team states, and observing latent teamwork states. Using this model, we motivate a problem in which we predict team outcomes from non-obtrusive observation of a military staff during a training exercise. Representing pairwise interactions between team members as a weighted adjacency matrix, we use low-rank matrix recovery techniques to identify communication patterns that predict external evaluations of three team processes during task completion: effective communication, shared understanding, and positive affect.

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