Dyadic Conversation

Dyadic conversation analysis focuses on understanding the intricate interplay between two individuals during interaction, aiming to decipher the complex dynamics of communication beyond the mere exchange of words. Current research utilizes machine learning, employing models like transformers and convolutional neural networks, to analyze multimodal data (audio, video, text) and predict various aspects of interaction, including emotional states, rapport levels, and vocal entrainment. These advancements have implications for diagnosing developmental disorders, improving human-computer interaction, and furthering our understanding of social dynamics and interpersonal relationships.