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Paper Abstract and Keywords
Presentation 2022-11-04 15:30
Study of Analyzing Agent-Conversation Logs Toward Self-Aid Support for In-Home Elderly People
Kazuki Unigame, Masahide Nakamura (Kobe Univ.), Sachio Saiki (KUT), Sinan Chen (Kobe Univ.), Kiyoshi Yasuda (OIT) KBSE2022-34 SC2022-29
Abstract (in Japanese) (See Japanese page) 
(in English) Our research group has been developing mind sensing service for the elderly with anxiety for their cognitive functions.
The service enables them to record and retrospect their internal states, such as their emotions and physical condition, through conversations with a virtual agent.
In addition, health status, such as blood pressure and weight, included in conversation logs can be extracted and visualized in graphs.
Such information is useful for data-based medical and nursing care.
However, in previous research, the search of conversation logs is limited to filtering.
Moreover, researchers make graphs of health status, so the elderly themselves cannot check their status.
In this paper, we propose an analysis service of agent-conversation logs in order to solve these challenges.
The proposed service consists of two functions: checking the change in the number of filtered conversation logs and retrospecting the health status.
The proposed service enables the elderly to retrospect and analyze their agent-conversation logs easily.
Keyword (in Japanese) (See Japanese page) 
(in English) Smart health care / Conversation agent / Conversation Log / Data Mining / Visualization / Web application / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 239, SC2022-29, pp. 19-24, Nov. 2022.
Paper # SC2022-29 
Date of Issue 2022-10-28 (KBSE, SC) 
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 KBSE2022-34 SC2022-29

Conference Information
Committee KBSE SC  
Conference Date 2022-11-04 - 2022-11-05 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SC 
Conference Code 2022-11-KBSE-SC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Study of Analyzing Agent-Conversation Logs Toward Self-Aid Support for In-Home Elderly People 
Sub Title (in English)  
Keyword(1) Smart health care  
Keyword(2) Conversation agent  
Keyword(3) Conversation Log  
Keyword(4) Data Mining  
Keyword(5) Visualization  
Keyword(6) Web application  
Keyword(7)  
Keyword(8)  
1st Author's Name Kazuki Unigame  
1st Author's Affiliation Kobe University (Kobe Univ.)
2nd Author's Name Masahide Nakamura  
2nd Author's Affiliation Kobe University (Kobe Univ.)
3rd Author's Name Sachio Saiki  
3rd Author's Affiliation Kochi University of Technology (KUT)
4th Author's Name Sinan Chen  
4th Author's Affiliation Kobe University (Kobe Univ.)
5th Author's Name Kiyoshi Yasuda  
5th Author's Affiliation Osaka Institute of Technology (OIT)
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Speaker Author-1 
Date Time 2022-11-04 15:30:00 
Presentation Time 30 minutes 
Registration for SC 
Paper # KBSE2022-34, SC2022-29 
Volume (vol) vol.122 
Number (no) no.238(KBSE), no.239(SC) 
Page pp.19-24 
#Pages 6 
Date of Issue 2022-10-28 (KBSE, SC) 

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