Presentation 2022-10-27
Emotion and personality estimation of utterances in a dialogue model reflecting Individuality
Daiki Mori, Kazuyuki Matsumoto, Sasayama Manabu, Yoshida Minoru, Kita Kenji,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) One of the factors that enable humans to interact with AI in a more friendly manner is personality, and since the personality required of AI varies depending on the situation and context, a mechanism is needed that allows AI to switch between different personalities depending on the person with whom he or she is interacting. In this study, we use a Japanese language Transformer Encoder-decoder dialogue model (japanese-dialog-transformers) and aim to construct a dialogue model that reflects the personality of the target person by fine-tuning the interview dialogue data. By analyzing the output of the proposed dialogue models using the MBTI estimation model and the sentiment analysis model, we evaluate the consistency of the personality and discuss the differences and similarities among the dialogue models.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Interview dialogue / personality / dialogue model / personality estimation / sentiment analysis
Paper # HCS2022-54
Date of Issue 2022-10-20 (HCS)

Conference Information
Committee HCS
Conference Date 2022/10/27(1days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Tomoko Kanda(Osaka Inst. of Tech.)
Vice Chair Yugo Hayashi(Ritsumeikan Univ.) / Masashi Komori(Osaka Electro-Comm. Univ.)
Secretary Yugo Hayashi(Nihon Univ.) / Masashi Komori(Kanagawa Univ.)
Assistant HUANG HUNGHSUAN(Univ. of Fukuchiyama) / Jun Ichikawa(Shizuoka Univ.) / Kazuki Takashima(Tohoku Univ.) / Hiroto Saito(Tokyo Denki Univ.) / Ryo Ishii(NTT) / Yoshimasa Ohmoto(Shizuoka Univ.)

Paper Information
Registration To Technical Committee on Human Communication Science
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Emotion and personality estimation of utterances in a dialogue model reflecting Individuality
Sub Title (in English)
Keyword(1) Interview dialogue
Keyword(2) personality
Keyword(3) dialogue model
Keyword(4) personality estimation
Keyword(5) sentiment analysis
1st Author's Name Daiki Mori
1st Author's Affiliation Tokushima University(Tokushima Univ.)
2nd Author's Name Kazuyuki Matsumoto
2nd Author's Affiliation Tokushima University(Tokushima Univ.)
3rd Author's Name Sasayama Manabu
3rd Author's Affiliation National Institute of Technology, Kagawa Collage(NIT Kagawa)
4th Author's Name Yoshida Minoru
4th Author's Affiliation Tokushima University(Tokushima Univ.)
5th Author's Name Kita Kenji
5th Author's Affiliation Tokushima University(Tokushima Univ.)
Date 2022-10-27
Paper # HCS2022-54
Volume (vol) vol.122
Number (no) HCS-236
Page pp.pp.34-38(HCS),
#Pages 5
Date of Issue 2022-10-20 (HCS)