Human Human Interaction

Human-human interaction (HHI) research aims to understand and model the complex dynamics of social engagement, focusing on accurate representation and prediction of human behavior in various contexts. Current research emphasizes developing robust datasets with detailed annotations of body movements, hand gestures, and contextual information, alongside advanced model architectures like transformers, recurrent neural networks (RNNs), and diffusion models to analyze and generate realistic HHI sequences. This work is significant for advancing fields like human-computer interaction, robotics, and social sciences, enabling improved applications in areas such as autonomous systems, violence detection, and understanding social dynamics.