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Paper Abstract and Keywords
Presentation 2026-03-26 13:30
Methods for Creating Dialogue Content According to Privacy Levels
Yoshihiko Murakawa (Teikyo Heisei Univ.), Masayuki Kanbara (Konan Univ.), Nakanishi Isao (Tottori Univ.) BioX2025-95 CNR2025-14
Abstract (in Japanese) (See Japanese page) 
(in English) As the use of robots interacting with humans in social service fields gains attention, rapid advances in AI technology for automated dialogue generation further heighten expectations for practical implementation. However, the critical issue of privacy protection in human-robot interactions within real-world service scenarios remains inadequately addressed. To address this, we propose a comprehensive framework for managing privacy in everyday human-robot interactions. This framework integrates authentication, dialogue content generation, and dialogue strategy to meet essential requirements for real-world applications. In this research, we have proposed three approaches for dialogue content generation: Retrieval-Augmented Generation (RAG), Low-Rank Adaptation (LoRA), and prompt-based methods. We previously reported on prototype development using the RAG method. Here, we report on experiments using the Low-Rank Adaptation method, which yielded insights into the execution environment and generation accuracy. We also discuss improvements to the Retrieval-Augmented Generation method based on these findings.
Keyword (in Japanese) (See Japanese page) 
(in English) Conversational Robot / Privacy Level / RAG(Retrieval-Augmented Generation) / LoRA(Low-Rank Adaptation) / / / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 427, CNR2025-14, pp. 7-9, March 2026.
Paper # CNR2025-14 
Date of Issue 2026-03-19 (BioX, 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 BioX2025-95 CNR2025-14

Conference Information
Committee CNR BioX  
Conference Date 2026-03-26 - 2026-03-27 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To CNR 
Conference Code 2026-03-CNR-BioX 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Methods for Creating Dialogue Content According to Privacy Levels 
Sub Title (in English)  
Keyword(1) Conversational Robot  
Keyword(2) Privacy Level  
Keyword(3) RAG(Retrieval-Augmented Generation)  
Keyword(4) LoRA(Low-Rank Adaptation)  
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1st Author's Name Yoshihiko Murakawa  
1st Author's Affiliation Teikyo Heisei University (Teikyo Heisei Univ.)
2nd Author's Name Masayuki Kanbara  
2nd Author's Affiliation Kounan University (Konan Univ.)
3rd Author's Name Nakanishi Isao  
3rd Author's Affiliation Tottori University (Tottori Univ.)
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Speaker Author-1 
Date Time 2026-03-26 13:30:00 
Presentation Time 30 minutes 
Registration for CNR 
Paper # BioX2025-95, CNR2025-14 
Volume (vol) vol.125 
Number (no) no.426(BioX), no.427(CNR) 
Page pp.7-9 
#Pages 3 
Date of Issue 2026-03-19 (BioX, CNR) 

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