Human Agent Interaction

Human-agent interaction (HAI) research focuses on designing and evaluating interactions between humans and artificial agents, aiming to create natural, efficient, and trustworthy collaborations. Current research emphasizes improving agent communication through multimodal approaches (combining explicit and implicit cues), developing sophisticated control systems for complex tasks (like those involving physics-based animation and computer control), and employing reinforcement learning and large language models to enhance agent learning and adaptability. These advancements are crucial for building more effective and user-friendly AI systems across diverse applications, from virtual assistants and collaborative robots to AI-powered decision-support tools.