Personality-affected Emotion Generation in Dialog Systems.

Autor: Wen, Zhiyuan, Cao, Jiannong, Shen, Jiaxing, Yang, Ruosong, Liu, Shuaiqi, Sun, Maosong
Zdroj: ACM Transactions on Information Systems; Sep2024, Vol. 42 Issue 5, p1-27, 27p
Abstrakt: The article focuses on improving emotion generation in dialogue systems by considering personality traits, aiming to enhance user engagement and service quality. It mentions through the proposed task of Personality-affected Emotion Generation and the development of the Personality EmotionLines Dataset (PELD), the study addresses challenges in integrating personality and emotional factors while modeling personality as a transition weight, resulting in improved emotion generation performance.
Databáze: Complementary Index