Modeling Human Communication Dynamics - 2016
Explore the cutting-edge research on modeling human communication dynamics in this lecture by Louis-Philippe Morency from Carnegie Mellon University. Delve into the challenges of creating computational technologies that can analyze, recognize, and predict subtle human communicative behaviors in social contexts. Learn about the Human Communication Dynamics framework and its four key computational challenges: behavioral, multimodal, interpersonal, and societal dynamics. Discover new probabilistic models designed to learn temporal and fine-grained latent dependencies across behaviors, modalities, and interlocutors. Gain insights into applications of this research in healthcare, education, business, and social multimedia. Understand how recent advances in machine learning, audio-visual signal processing, and computational linguistics are being leveraged to create more natural and fluid human-computer interactions.