The ARCS Lab is actively funded by the Army Research Office and the University of Tennessee, Knoxville — supporting research on the most consequential questions in human-AI teaming.
This project studies how human-AI teams build a shared model of their world, how that shared model drifts apart when information is delayed, partial, or corrupted, and how teams can reconcile it before performance degrades. The work develops measures and interventions for maintaining a common operating picture in degraded and contested information environments, supporting Army needs for resilient human-machine teaming at the tactical edge.
This project investigates how human-AI teams can detect, respond to, and recover from scenarios in which AI teammates are compromised or provide inaccurate information. The research develops frameworks rooted in shared situational awareness and mental model accuracy to maintain team performance and safety in electronically contested and adversarial environments. Work directly supports Army priorities in human-machine teaming for command and control.