Humans and AI,
engineered to think as one team.

Modeling information-sharing, team cognition, and workload to create synergistic human–machine partnerships across complex, high-stakes environments.

Designing transparent AI behaviors that accurately calibrate trust, support responsible AI adoption, and contribute to meaningful AI acceptance.

Improving skill transference from training to operations through intelligent interventions, human-centered design, and psychological fidelity.

Developing real-time adaptive interfaces that surface mission-critical cues and promote collective understanding in electronically contested environments.

Integrating collaborative robots and unmanned ground vehicles into advanced manufacturing workflows and high-stakes emergency response scenarios.

Developing rigorous experimental frameworks to test AI teammates' effectiveness, safety, and resilience through mixed-methods empirical research.