Research on emotionally intelligent dialogue generation based on
  automatic dialogue system
Jin Wang JinFei Wang Shuying Dai Jiqiang Yu Keqin Li
Automated dialogue systems are important applications of artificial
intelligence, and traditional systems struggle to understand user emotions and
provide empathetic feedback. This study integrates emotional intelligence
technology into automated dialogue systems and creates a dialogue generation
model with emotional intelligence through deep learning and natural language
processing techniques. The model can detect and understand a wide range of
emotions and specific pain signals in real time, enabling the system to provide
empathetic interaction. By integrating the results of the study "Can artificial
intelligence detect pain and express pain empathy?", the model's ability to
understand the subtle elements of pain empathy has been enhanced, setting
higher standards for emotional intelligence dialogue systems. The project aims
to provide theoretical understanding and practical suggestions to integrate
advanced emotional intelligence capabilities into dialogue systems, thereby
improving user experience and interaction quality.