Behavior Style

Behavior style research investigates how individuals and systems act, react, and interact, aiming to understand and model these patterns for various applications. Current research focuses on developing computational models, often employing large language models (LLMs) and reinforcement learning algorithms, to analyze and predict behavior in diverse contexts, from autonomous driving to human-robot interaction and mental health therapy. This work has significant implications for improving safety and efficiency in autonomous systems, enhancing personalized interventions in healthcare, and advancing our understanding of human and artificial intelligence decision-making.