Personality-affected Emotion Generation in Dialog Systems

arXiv:2404.07229v1 Announce Type: new
Abstract: Generating appropriate emotions for responses is essential for dialog systems to provide human-like interaction in various application scenarios. Most previous dialog systems tried to achieve this goal by learning empathetic manners from anonymous conversational data. However, emotional responses generated by those methods may be inconsistent, which will decrease user engagement and service quality. Psychological findings suggest that the emotional expressions of humans are rooted in personality traits. Therefore, we propose a new task, Personality-affected Emotion …

abstract anonymous application arxiv conversational cs.ai cs.cl data dialog emotion emotions generated however human human-like personality responses systems type will