Dyadic Interaction

Dyadic interaction research focuses on understanding the complex interplay between two individuals, aiming to model and predict their behaviors and interactions across various modalities (audio, video, text). Current research emphasizes developing sophisticated models, including neural networks (e.g., transformers, neural operators) and graph-based approaches, to analyze these interactions for applications such as mental health diagnosis, human-robot interaction, and personalized recommendations. These advancements have significant implications for fields like psychology, computer science, and healthcare, enabling more accurate assessments of social behavior, improved human-computer interaction design, and more effective therapeutic interventions.