Emotion Understanding

Emotion understanding in artificial intelligence focuses on enabling machines to accurately recognize, interpret, and respond to human emotions expressed through various modalities like text, speech, images, and physiological signals. Current research heavily utilizes multimodal approaches, incorporating transformer-based architectures, large language models (LLMs), and convolutional neural networks (CNNs) to fuse information from different sources and improve accuracy. This field is crucial for advancing human-computer interaction, particularly in mental health applications, and for gaining a deeper understanding of the cognitive processes underlying emotion itself.