Interactive Prediction

Interactive prediction focuses on accurately forecasting the future actions of multiple interacting agents, a crucial task in domains like autonomous driving and surgical assistance. Current research emphasizes developing sophisticated models, such as transformer-based architectures and those incorporating game-theoretic principles, to handle the complexity of these interactions and improve prediction accuracy and probabilistic representation of outcomes. This field is vital for enhancing the safety and efficiency of autonomous systems and for creating intelligent assistive technologies in various applications, with a growing focus on understanding how model interpretability and feedback influence human trust and performance.