Dialogue Response Generation for Text-Based Dialogue Systems with Emotion Regulation

Dialogue systems that handle emotions have been shown to improve user satisfaction and increase positive interactions, and are expected to play a role as a digital partner that accompanies humans. In order for dialogue systems to recognize user emotions and express their own emotions, emotion regula...

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Bibliographic Details
Published inJournal of Japan Society for Fuzzy Theory and Intelligent Informatics Vol. 34; no. 3; pp. 568 - 578
Main Authors KATAYAMA, Shin, YONEZAWA, Takuro, KAWAGUCHI, Nobuo
Format Journal Article
LanguageEnglish
Published Japan Society for Fuzzy Theory and Intelligent Informatics 15.08.2022
Subjects
affective computing
dialogue systems
emotion regulation
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Summary:Dialogue systems that handle emotions have been shown to improve user satisfaction and increase positive interactions, and are expected to play a role as a digital partner that accompanies humans. In order for dialogue systems to recognize user emotions and express their own emotions, emotion regulation methods that select appropriate emotions from the context of the dialogue are indispensable. In this paper, we propose a text-based dialogue framework that performs emotion regulation, which estimates appropriate emotions during response. Our proposed method estimates appropriate emotions by considering the semantic and emotional context of the user’s text, and generates dialogue responses with emotional expressions using a neural network. The effectiveness of the proposed method was demonstrated through automatic evaluation using an evaluation metrics for the quality of dialogue generation and human evaluation by 100 subjects collected through a crowdsourcing.
ISSN:1347-7986
1881-7203
DOI:10.3156/jsoft.34.3_568