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| Presentation | 2017-12-14 17:05 [Invited Talk] Quantified Learning for Experiential Supplements Koichi Kise (Osaka Pref. Univ.)  NS2017-133 RCS2017-259 |
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| 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. |
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| 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 | |
| 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 | NS2017-133 RCS2017-259 |
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| 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 |
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| Keyword(8) | |
| 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) |
| #Pages | 2 |
| Date of Issue | 2017-12-07 (NS, RCS) |
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