| Presentation | 2017-12-14 [Invited Talk] Quantified Learning for Experiential Supplements Koichi Kise, |
|---|---|
| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(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) |
| Keyword(in English) | Experiential supplement / Learning assistance / Eye-tracking / Reading behavior analysis / Answering process analysis / Quantified learning |
| Paper # | NS2017-133,RCS2017-259 |
| Date of Issue | 2017-12-07 (NS, RCS) |
| Conference Information | |
| Committee | RCS / NS |
|---|---|
| Conference Date | 2017/12/14(2days) |
| 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 |
| Chair | Hidekazu Murata(Kyoto Univ.) / Hideki Tode(Osaka Pref. Univ.) |
| Vice Chair | Yukitoshi Sanada(Keio Univ.) / Eisuke Fukuda(Fujitsu Labs.) / Satoshi Suyama(NTT DoCoMo) / Yoshikatsu Okazaki(NTT) |
| Secretary | Yukitoshi Sanada(Toshiba) / Eisuke Fukuda(Hokkaido Univ.) / Satoshi Suyama(Kyushu Inst. of Tech.) / Yoshikatsu Okazaki(NTT) |
| Assistant | Tetsuya Yamamoto(Panasonic) / Koichi Ishihara(NTT) / Kazushi Muraoka(NEC) / Shinsuke Ibi(Osaka Univ.) / Hiroshi Nishimoto(Mitsubishi Electric) / Kenichi Kashibuchi(NTT) |
| Paper Information | |
| Registration To | Technical Committee on Radio Communication Systems / Technical Committee on Network Systems |
|---|---|
| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | [Invited Talk] 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.) |
| Date | 2017-12-14 |
| Paper # | NS2017-133,RCS2017-259 |
| Volume (vol) | vol.117 |
| Number (no) | NS-351,RCS-352 |
| Page | pp.pp.41-42(NS), pp.53-54(RCS), |
| #Pages | 2 |
| Date of Issue | 2017-12-07 (NS, RCS) |