Research on emotionally intelligent dialogue generation based on automatic dialogue system
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Abstract (arXiv)
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.
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). First posted on arXiv 17 Apr 2024.
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Citing papers per year: 2024: 4; 2025: 1.
5 papers.
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- 2024Automatic News Generation and Fact-Checking System Based on Language Processing17 May 2024
- 2024Harnessing XGBoost for Robust Biomarker Selection of Obsessive-Compulsive Disorder (OCD) from Adolescent Brain Cognitive Development (ABCD) data14 May 2024
- 2024Cross-Task Multi-Branch Vision Transformer for Facial Expression and Mask Wearing Classification22 Apr 2024
- 2024Utilizing Deep Learning to Optimize Software Development Processes21 Apr 2024