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Paper Abstract and Keywords
Presentation 2017-12-14 17:05
[Invited Talk] Quantified Learning for Experiential Supplements
Koichi Kise (Osaka Pref. Univ.) NS2017-133 RCS2017-259
Abstract (in Japanese) (See Japanese page) 
(in English) In the JST CREST research area ``Intelligent Information Processing Systems Creating Co-Experience Knowledge and Wisdom with Human-Machine Harmonious Collaboration'', a research project ``Behavior change and harmonious collaboration by experiential suppelments'' has been launched. This project is led by Koichi Kise (Osaka Prefecture University) with principal cooperative researchers Masahiko Inami (University of Tokyo), Masahiko Tsukamoto (Kobe University), Andreas Dengel (German Research Center for Artificial Intelligence; DFKI). The purpose of this project is to develop technologies for supporting digitization, dissemination and reuse of human experiences, based on the notion that human experiences are unexplored ``natural'' resources to enrich our life. Generally speaking, experience can be acquired through actions by him/herself. In order to support the process of acquiring experiences, we employ a framework to apply additional information called ``experiential supplements'', which are to be extracted from human experiences. Similar to a custom that people take supplements to improve their health, we propose to use ``experiential supplements'' to acquire better experiences in easier ways. As their application fields, we consider the following three: ``learning'', ``health'' and ``sports/entertainment''.
In my talk, with a focus on the record of experiences in the field of learning, I will explain the latest results of our research. In particular, through the analysis of ``reading'' and ``answering'', we are able to quantify various aspects of learning activities, and such quantification allows us to capture new aspects of learning assistance.
Keyword (in Japanese) (See Japanese page) 
(in English) Experiential supplement / Learning assistance / Eye-tracking / Reading behavior analysis / Answering process analysis / Quantified learning / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 351, NS2017-133, pp. 41-42, Dec. 2017.
Paper # NS2017-133 
Date of Issue 2017-12-07 (NS, RCS) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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 NS2017-133 RCS2017-259

Conference Information
Committee RCS NS  
Conference Date 2017-12-14 - 2017-12-15 
Place (in Japanese) (See Japanese page) 
Place (in English) Aster Plaza 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Mobile Ad-hoc Network, Ubiquitous Network, Wireless Communication, security, Multi-Access Network 
Paper Information
Registration To NS 
Conference Code 2017-12-RCS-NS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Quantified Learning for Experiential Supplements 
Sub Title (in English)  
Keyword(1) Experiential supplement  
Keyword(2) Learning assistance  
Keyword(3) Eye-tracking  
Keyword(4) Reading behavior analysis  
Keyword(5) Answering process analysis  
Keyword(6) Quantified learning  
1st Author's Name Koichi Kise  
1st Author's Affiliation Osaka Prefecture University (Osaka Pref. Univ.)
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Speaker Author-1 
Date Time 2017-12-14 17:05:00 
Presentation Time 50 minutes 
Registration for NS 
Paper # NS2017-133, RCS2017-259 
Volume (vol) vol.117 
Number (no) no.351(NS), no.352(RCS) 
Page pp.41-42(NS), pp.53-54(RCS) 
Date of Issue 2017-12-07 (NS, RCS) 

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