Abstract
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.
Abstract (translated)
自动对话系统是人工智能的重要应用之一，但传统系统很难理解用户的情感并提供体贴的反馈。通过将情感智能技术集成到自动对话系统中，并通过深度学习和自然语言处理技术创建一个具有情感意识的对话生成模型。该模型可以实时检测和理解广泛的情感和特定的疼痛信号，使系统能够提供体贴的交互。通过将研究的“人工智能能否检测疼痛并表达疼痛同理？”的结果集成到模型中，模型对疼痛同理的理解能力得到了增强，为情感智能对话系统设定了更高的标准。该项目旨在提供理论理解和实际建议，以将先进的情感智能功能集成到对话系统中，从而提高用户体验和交互质量。
URL
https://arxiv.org/abs/2404.11447
