Face Act

"Face Act" research encompasses the study of how actions and language impact social interactions, particularly concerning politeness and power dynamics. Current research focuses on developing computational models, often employing machine learning techniques like reinforcement learning and generative adversarial networks, to analyze and predict face acts in various contexts, including human-robot interaction and online discourse. This work has implications for improving human-computer interaction, understanding social dynamics, and developing more robust and socially aware AI systems.