A KANSEI Information System for supporting to broaden user's KANSEI concerning products
| Project/Area Number |
25330331
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Kansei informatics
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| Research Institution | Kyoto Sangyo University |
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Principal Investigator |
OGINO Akihiro 京都産業大学, コンピュータ理工学部, 准教授 (40407870)
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| Project Period (FY) |
2013-04-01 – 2016-03-31
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| Project Status |
Completed (Fiscal Year 2015)
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| Budget Amount *help |
¥4,940,000 (Direct Cost: ¥3,800,000、Indirect Cost: ¥1,140,000)
Fiscal Year 2015: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2014: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2013: ¥2,340,000 (Direct Cost: ¥1,800,000、Indirect Cost: ¥540,000)
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| Keywords | 感性情報学 / 情報推薦 / 情報検索 / ラフ集合 / 気づき支援 / 感性工学 / 感性データベース / 感性情報処理 / 機械学習 / 感性モデル / レコメンデーション / コーディネーション / ファッション |
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| Outline of Final Research Achievements |
This study has made a computational model that simulates the process that a person feels KANSEI from products, by using rough set theory.This study has developed a KANSEI information system that recommends to user the product that may expand the user's tastes concerning a fashion coordination and music.The fashion coordination system could recommend the coordination suitable for a user to the user by expressing the coordination through 3DCG.
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Report
(4 results)
Research Products
(10 results)
