Presentation information

Poster presentation

General Session » Interactive

[3Pin1] インタラクティブ(1)

Thu. Jun 7, 2018 9:00 AM - 10:40 AM Room P (4F Emerald Lobby)

9:00 AM - 10:40 AM

[3Pin1-21] Utterance understanding and emotion generation in a dialogue system for children

〇Kento Yamamoto1, Syunya Omura2, Ryo Nemoto2, Shiori Wada1, Toru Sugimoto2 (1. Graduate School of Engineering and Science,Shibaura Institute of Technology, 2. College of Engineering,Shibaura Institute of Technology)

Keywords:Dialogue System, Utterance Understanding, Emotion Generation

We propose a dialogue system for children with emotions. In this paper, we focus on utterance understanding and emotion generation in this dialogue system. In utterance understanding, we extract utterance intention and focus. Machine learning based on utterances collected from college students gives an accuracy of about 70% for utterance intention analysis and about 90% for focus extraction for children's utterances. In emotion generation, we deal with two types of emotion: short emotion and mood. The type of response is affected by mood, and short emotion is expressed as a facial expression. Regarding expressions of emotion, college students judged about 60% of emotions generated in dialogue as valid, but we could not confirm their usefulness in dialogue with children.