Emotion Knowledge

Emotion knowledge research focuses on understanding how humans perceive, process, and express emotions, aiming to build computational models that accurately recognize and respond to emotional cues. Current research emphasizes integrating diverse information sources, such as facial expressions, body language, and contextual scene information, often employing advanced deep learning architectures like large language models and Bayesian attention mechanisms to improve accuracy and generalizability across different domains. This work has significant implications for improving human-computer interaction, particularly in applications like mental health support, hate speech detection, and more natural and empathetic conversational AI.