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.

翻译：自动对话系统是人工智能的重要应用，传统系统难以理解用户情绪并提供共情式反馈。本研究将情感智能技术整合至自动对话系统，通过深度学习与自然语言处理技术构建具有情感智能的对话生成模型。该模型能够实时检测并理解广泛情绪及特定疼痛信号，使系统具备共情交互能力。通过整合《人工智能能否检测疼痛并表达疼痛共情？》的研究成果，模型对疼痛共情细微要素的理解能力得到增强，为情感对话系统树立了更高标准。本项目旨在为对话系统集成高级情感智能能力提供理论认知与实践建议，从而提升用户体验与交互质量。