Computational Empathy

Computational empathy research aims to develop artificial systems capable of understanding and responding to human emotions, particularly focusing on improving the ability of AI to provide empathetic responses. Current efforts concentrate on creating and efficiently utilizing large datasets of empathetic interactions, employing techniques like LLM-based data generation and selection algorithms to improve model performance. This field holds significant potential for enhancing human-computer interaction, particularly in applications like mental health support and human-centered design, by leveraging AI to mitigate negative emotions and improve creative problem-solving.