Interaction Mode

Interaction modes research explores how humans and machines interact, aiming to optimize these interactions for improved user experience and task efficiency. Current research focuses on developing adaptive AI systems that seamlessly switch between different interaction styles (e.g., observation, participation, cooperation) using techniques like probabilistic modeling and self-supervised learning of action affordances. This work is significant because it improves the design of human-computer interfaces, particularly in areas like human-robot collaboration and healthcare, leading to more effective and user-friendly technologies.