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Paper Abstract and Keywords
Presentation 2025-06-15 11:40
Development of KJ-GPT: A Prototype System for Automatic KJ-Ho Generation Utilizing OpenAI Technologies
Toshiki Otsuka, Yuki Murai, Susumu Kunifuji (JAIST) Consen2025-10
Abstract (in Japanese) (See Japanese page) 
(in English) The KJ-Ho (KJ Method), used for analyzing qualitative data, is a problem-solving technique closely related to Charles Peirce's concept of abduction. It aims to generate plausible new hypotheses from non-quantifiable data. However, the method involves nonlinear, iterative processes that are time-consuming and often influenced by the subjectivity of the practitioner due to its emphasis on intuitive thinking. This presentation introduces an AI-augmented version of the KJ-Ho, named KJ-GPT, designed to address these limitations. We demonstrate a prototype application and discuss its potential to enhance both objectivity (via explainability) and efficiency, exploring the AI-enabled abductive reasoning.
Keyword (in Japanese) (See Japanese page) 
(in English) Human-AI collaboration / abductive reasoning / explainable AI / KJ-Ho / / / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 75, Consen2025-10, pp. 51-56, June 2025.
Paper # Consen2025-10 
Date of Issue 2025-06-07 (Consen) 
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 Consen2025-10

Conference Information
Committee Consen  
Conference Date 2025-06-14 - 2025-06-15 
Place (in Japanese) (See Japanese page) 
Place (in English) JAIST 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Co-creative Design and Consensus Design, etc. 
Paper Information
Registration To Consen 
Conference Code 2025-06-Consen 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Development of KJ-GPT: A Prototype System for Automatic KJ-Ho Generation Utilizing OpenAI Technologies 
Sub Title (in English)  
Keyword(1) Human-AI collaboration  
Keyword(2) abductive reasoning  
Keyword(3) explainable AI  
Keyword(4) KJ-Ho  
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1st Author's Name Toshiki Otsuka  
1st Author's Affiliation * (*)
2nd Author's Name Yuki Murai  
2nd Author's Affiliation Japan Advanced Institute of Science and Technology (JAIST)
3rd Author's Name Susumu Kunifuji  
3rd Author's Affiliation Japan Advanced Institute of Science and Technology (JAIST)
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Speaker Author-1 
Date Time 2025-06-15 11:40:00 
Presentation Time 25 minutes 
Registration for Consen 
Paper # Consen2025-10 
Volume (vol) vol.125 
Number (no) no.75 
Page pp.51-56 
#Pages 6 
Date of Issue 2025-06-07 (Consen) 

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