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Paper Abstract and Keywords
Presentation 2022-10-27 16:10
Emotion and personality estimation of utterances in a dialogue model reflecting Individuality
Daiki Mori, Kazuyuki Matsumoto (Tokushima Univ.), Sasayama Manabu (NIT Kagawa), Yoshida Minoru, Kita Kenji (Tokushima Univ.) HCS2022-54
Abstract (in Japanese) (See Japanese page) 
(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) 
(in English) Interview dialogue / personality / dialogue model / personality estimation / sentiment analysis / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 236, HCS2022-54, pp. 34-38, Oct. 2022.
Paper # HCS2022-54 
Date of Issue 2022-10-20 (HCS) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
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Conference Information
Committee HCS  
Conference Date 2022-10-27 - 2022-10-27 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To HCS 
Conference Code 2022-10-HCS 
Language Japanese 
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  
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Keyword(7)  
Keyword(8)  
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.)
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Speaker Author-1 
Date Time 2022-10-27 16:10:00 
Presentation Time 30 minutes 
Registration for HCS 
Paper # HCS2022-54 
Volume (vol) vol.122 
Number (no) no.236 
Page pp.34-38 
#Pages 5 
Date of Issue 2022-10-20 (HCS) 

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