Autonomous agents have the potential to enhance human performance and maneuverability. To synergize the full capabilities of both agents, the internal state of the human must be characterized. A major challenge to achieving this state estimation in high noise real-world contexts is identifying robust and reliable physiological features that are related to ongoing behavior. This ICB basic research project will develop novel methods and tools to analyze and integrate multi-modal and field-deployable physiological measures obtained during mission-relevant tasks involving situational awareness, physical precision, and decision making. The goal is to identify robust human biomarkers derived from synchronous physiological activity that can adapt autonomous systems in real time.