Presentation 2008-11-27
An Ambient Way of Learning Support with the Interaction Reproducing Model
Hideki AOYAMA, Motoyuki OZEKI, Yuichi NAKAMURA,
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Abstract(in English) This paper presents a learning support with the Interaction Reproducing Model (IRM) that adjusts computer supports to match the state of the user, and it consists of a set of Interaction Finite State Machines (I-FSMs). Each I-FSM is trained using actual interaction records, and it represents an ideal interaction pattern for a user state. It can choose an appropriate system action by reproducing the interaction pattern of the I-FSM most similar to the current interaction. We developed a prototype teaching system, and conducted preliminary experiments. The results by different configuration from the previous report show the efficacy of our framework.
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Keyword(in English) HCI / Appropriate Supports / User State Recognition / Pattern Recognition
Paper # PRMU2008-111,MVE2008-60
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Committee MVE
Conference Date 2008/11/20(1days)
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Registration To Media Experience and Virtual Environment (MVE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) An Ambient Way of Learning Support with the Interaction Reproducing Model
Sub Title (in English)
Keyword(1) HCI
Keyword(2) Appropriate Supports
Keyword(3) User State Recognition
Keyword(4) Pattern Recognition
1st Author's Name Hideki AOYAMA
1st Author's Affiliation Graduate School of Engineering, Kyoto University()
2nd Author's Name Motoyuki OZEKI
2nd Author's Affiliation Academic Center for Computing and Media Studies, Kyoto University
3rd Author's Name Yuichi NAKAMURA
3rd Author's Affiliation Academic Center for Computing and Media Studies, Kyoto University
Date 2008-11-27
Paper # PRMU2008-111,MVE2008-60
Volume (vol) vol.108
Number (no) 328
Page pp.pp.-
#Pages 8
Date of Issue