Human COACH

Human COACH, encompassing both human-in-the-loop and fully automated systems, aims to leverage artificial intelligence to enhance coaching effectiveness across diverse domains, from weight loss to leadership development and mental well-being. Current research focuses on refining reinforcement learning algorithms to handle noisy human feedback, integrating large language models (LLMs) to personalize coaching interactions, and designing robust human-robot interaction strategies for robotic coaches. This research holds significant potential for improving the scalability and accessibility of coaching interventions, ultimately impacting both the efficiency of coaching practices and the well-being of individuals.