{"title":"Empathetic Response Generation With Self and Other-Imagine Graph","authors":"Xun Wang;Zhen Liu;Tingting Liu;Zheng Fang","doi":"10.1109/TCSS.2024.3424424","DOIUrl":null,"url":null,"abstract":"Empathy, an essential quality in daily human conversations, plays a crucial role in dialogue systems. In recent years, there has been a surge of interest among researchers in developing empathetic response generation. However, existing methods often ignore the high-level process of generating empathy-imagination, which involves consciously putting oneself in the other person's shoes during a conversation. To solve this critical problem, we propose a novel approach called EmpSOI that adopts self and other-imagine to generate empathetic responses. Specifically, we design two heterogeneous graphs to incorporate the two different imaginative perspectives: the self-imagine perspective and the other-imagine perspective, which enables the model to empathize with the user from different perspectives. Besides, we incorporate a gating mechanism to regulate the contribution of imagination information from these two perspectives during the response generation stage. The mechanism enables the model to differentiate between two imaginative perspectives. The results of extensive automatic and manual experiments illustrate the advantages of our model compared to other comparative models in perceiving the user's emotional state and generating empathetic responses.","PeriodicalId":13044,"journal":{"name":"IEEE Transactions on Computational Social Systems","volume":"11 6","pages":"7801-7813"},"PeriodicalIF":4.5000,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Computational Social Systems","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10678768/","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, CYBERNETICS","Score":null,"Total":0}
引用次数: 0
Abstract
Empathy, an essential quality in daily human conversations, plays a crucial role in dialogue systems. In recent years, there has been a surge of interest among researchers in developing empathetic response generation. However, existing methods often ignore the high-level process of generating empathy-imagination, which involves consciously putting oneself in the other person's shoes during a conversation. To solve this critical problem, we propose a novel approach called EmpSOI that adopts self and other-imagine to generate empathetic responses. Specifically, we design two heterogeneous graphs to incorporate the two different imaginative perspectives: the self-imagine perspective and the other-imagine perspective, which enables the model to empathize with the user from different perspectives. Besides, we incorporate a gating mechanism to regulate the contribution of imagination information from these two perspectives during the response generation stage. The mechanism enables the model to differentiate between two imaginative perspectives. The results of extensive automatic and manual experiments illustrate the advantages of our model compared to other comparative models in perceiving the user's emotional state and generating empathetic responses.
期刊介绍:
IEEE Transactions on Computational Social Systems focuses on such topics as modeling, simulation, analysis and understanding of social systems from the quantitative and/or computational perspective. "Systems" include man-man, man-machine and machine-machine organizations and adversarial situations as well as social media structures and their dynamics. More specifically, the proposed transactions publishes articles on modeling the dynamics of social systems, methodologies for incorporating and representing socio-cultural and behavioral aspects in computational modeling, analysis of social system behavior and structure, and paradigms for social systems modeling and simulation. The journal also features articles on social network dynamics, social intelligence and cognition, social systems design and architectures, socio-cultural modeling and representation, and computational behavior modeling, and their applications.