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Paper Abstract and Keywords
Presentation 2024-01-19 13:30
Social experiment of daily text dialogue with a virtual robot to improve QoL of the elderly -- Efforts to improve the efficiency of generation and recording of dialogue using LLM --
Kazutoshi Taguchi, Taishi Sawabe, Masayuki Kanbara, Yuichiro Fujimoto, Hirokazu Kato (NAIST) CNR2023-29
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, due to the increasing number of elderly individuals living alone in Japan, research has been conducted on communication using dialogue robots to provide opportunities for interaction in lieu of human companionship. In this study, we propose a method using a large language model (LLM) to semi-automate tasks performed manually for the purpose of streamlining a multi-user dialogue system (multi-party dialogue system) where multiple users engage in conversations with a virtual robot through text chat, employing the Wizard of Oz (WoZ) method for improving the quality of life (QoL) of the elderly. The manual tasks involve categorizing responses to dialogue and recording dialogue content. To ensure that inappropriate content is not generated by the LLM, human verification is conducted for the generated responses. Through a six-month social experiment involving 121 participants, the proposed method not only achieved a reduction of approximately 25% in manual work time while maintaining the quality of dialogue but also recorded about 500 pieces of daily activity information and profiles. Additionally, around 60 individuals were able to sustain regular conversations with the virtual robot, as evidenced by their responses to periodic collective inquiries.
Keyword (in Japanese) (See Japanese page) 
(in English) virtual robot / text chat / multi-party dialogue system / LLM / efficiency improvement / everyday activity information / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 347, CNR2023-29, pp. 19-24, Jan. 2024.
Paper # CNR2023-29 
Date of Issue 2024-01-12 (CNR) 
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)
Download PDF CNR2023-29

Conference Information
Committee CNR  
Conference Date 2024-01-19 - 2024-01-19 
Place (in Japanese) (See Japanese page) 
Place (in English) Fureai Plaza Nanohana-Kan Meeting Room 1 (IBUSUKI City) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Cloud Network Robotics and General 
Paper Information
Registration To CNR 
Conference Code 2024-01-CNR 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Social experiment of daily text dialogue with a virtual robot to improve QoL of the elderly 
Sub Title (in English) Efforts to improve the efficiency of generation and recording of dialogue using LLM 
Keyword(1) virtual robot  
Keyword(2) text chat  
Keyword(3) multi-party dialogue system  
Keyword(4) LLM  
Keyword(5) efficiency improvement  
Keyword(6) everyday activity information  
Keyword(7)  
Keyword(8)  
1st Author's Name Kazutoshi Taguchi  
1st Author's Affiliation Nara Institute of Science and Technology (NAIST)
2nd Author's Name Taishi Sawabe  
2nd Author's Affiliation Nara Institute of Science and Technology (NAIST)
3rd Author's Name Masayuki Kanbara  
3rd Author's Affiliation Nara Institute of Science and Technology (NAIST)
4th Author's Name Yuichiro Fujimoto  
4th Author's Affiliation Nara Institute of Science and Technology (NAIST)
5th Author's Name Hirokazu Kato  
5th Author's Affiliation Nara Institute of Science and Technology (NAIST)
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Speaker Author-1 
Date Time 2024-01-19 13:30:00 
Presentation Time 30 minutes 
Registration for CNR 
Paper # CNR2023-29 
Volume (vol) vol.123 
Number (no) no.347 
Page pp.19-24 
#Pages 6 
Date of Issue 2024-01-12 (CNR) 

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