Human Agent Team

Human-agent teaming research focuses on optimizing collaboration between humans and artificial intelligence agents to achieve shared goals, emphasizing the development of robust and efficient teamwork. Current research explores diverse areas, including the impact of explainable AI (XAI) on team performance and trust, the development of algorithms that adapt to human suboptimality and varying trust levels, and the use of techniques like Bayesian adaptation, imitation learning, and emergent communication to improve coordination and shared understanding. These advancements hold significant implications for improving human-AI collaboration across various domains, from military command and control to everyday task assistance, by enhancing team effectiveness and user experience.