2017 Fiscal Year Final Research Report
Research and Development of Kansei Information Environment for Group Symbiosis in Real and Cyber Space
| Project/Area Number |
25240043
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| Research Category |
Grant-in-Aid for Scientific Research (A)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Kansei informatics
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| Research Institution | Chuo University |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
梅田 和昇 中央大学, 理工学部, 教授 (10266273)
坂根 茂幸 中央大学, 理工学部, 教授 (10276694)
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| Co-Investigator(Renkei-kenkyūsha) |
OGINO Akihiro 京都産業大学, コンピュータ理工学部, 准教授 (40407870)
TADA Masahiro 近畿大学, 理工学部, 准教授 (40418520)
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| Project Period (FY) |
2013-04-01 – 2018-03-31
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| Keywords | 感性情報学 / 感性認知科学 / 感性脳科学 / 感性のモデル化 / 行動計測 / 感性のシミュレーション / 感性情報処理 / レコメンデーションサービス |
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| Outline of Final Research Achievements |
We have developed integrated modeling method for subjective cognition processes (Kansei.) We enabled cognition-based data mining and Kansei modeling through automatic estimation of salient features of objects simulating human’s perception processes. We can mathematically merge Kansei models for recommendation services. To avoid ambiguity in questionnaire we have developed objective estimation through observation of brain activities at prefrontal cortex area. Kansei modeling can also be done through passive observation of behaviors in IoT space and it can be accelerated through active observation of attitude to information signage. We enabled estimating knowledge covered by each person through observation of eye tracks in reading and developed an information service with suitable explanations of strange words for the user.
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| Free Research Field |
感性情報学
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