Quantified learning is a new paradigm of human learning enabled by AI and advanced sensing technologies. The purpose of this workshop is to find the current state-of-the-art of this field, to address open problems and possible future directions of research. Although speakers are all invited, audience can freely attend talks as well as discussions.
This workshop is open to the public.
Please bring two business cards of you so as to use for your name card and to keep at the registration desk.
Conference room C1 (2nd floor) in I-site Namba.
Floor map (in Japanese):
http://www.osakafu-u.ac.jp/isitenanba/about/facility/
Access map (in English):
https://www.osakafu-u.ac.jp/osakafu-content/uploads/sites/344/access_isite_eng-1.pdf
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Registration 9:00 - 9:50 |
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Opening by Koichi Kise 9:50 - 10:00 |
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Session 1 10:00 - 12:00 30 min / person incl. QA
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JST CREST Research Project on Situated Services Creating Co-Experience Knowledge and Wisdom Prof. Norihiro Hagita (ATR, Japan) |
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If a textbook would know when and how it is read!? Prof. Andreas Dengel (DFKI, Germany) |
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The User-centered Tool to Develop Unified AI Applications Prof. Takahira Yamaguchi (Keio University, Japan) |
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Estimation and Tracking of Concentration using Smart Eyewear Mr. Yuji Uema (JINS, Japan) |
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Lunch Break 12:00 - 13:30 |
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Session 2 13:30 - 15:00 30 min / person incl. QA
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Can we recognize Cognitive Performance in Everyday Life? Prof. Kai Kunze (Keio University, Japan) |
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Vision Based Sensing and Recognition for Human Analysis Prof. Hideo Saito (Keio University, Japan) |
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Quantifying Reading for Quantified Learning Prof. Koichi Kise (Osaka Prefecture University, Japan) |
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Coffee Break 15:00 - 15:30 |
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Discussion 15:30 - 17:00 |
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Presentation of discussion results 17:00 - 17:30 |
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Closing by Koichi Kise 17:30 - 18:00 |
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| Koichi Kise | Osaka Prefecture University, Japan |
| Supported by
Osaka Prefecture University, JST CREST |
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