Team Dynamic

Team dynamics research explores how individuals within groups interact and collaborate to achieve shared goals, focusing on optimizing performance and efficiency. Current research investigates this through various computational models, including agent-based models, generative adversarial networks, and large language models (LLMs), often applied to analyze and improve team workflows in diverse settings such as healthcare, industry, and robotics. These studies aim to enhance understanding of team structures, communication patterns, and decision-making processes, ultimately leading to improved team performance and the development of more effective human-AI collaborations.