A Study on a Kansei Model And a Decision-making Support System to Use Continuously
| Project/Area Number |
21500205
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Sensitivity informatics/Soft computing
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| Research Institution | Chuo University |
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Principal Investigator |
SHOJI Hiroko 中央大学, 理工学部, 教授 (30286174)
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| Co-Investigator(Kenkyū-buntansha) |
KATO Toshikazu 中央大学, 理工学部, 教授 (50297107)
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| Project Period (FY) |
2009 – 2011
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| Project Status |
Completed (Fiscal Year 2011)
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| Budget Amount *help |
¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2011: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2010: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2009: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
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| Keywords | 感性情報処理 / 飽き / 感性モデル / 意思決定 / 意志決定 / マンネリ |
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| Research Abstract |
This study has modeled the human nature of being tired of the same thing and enabled the measurement of the degree of such boredom. Also, the study has implemented an information recommendation system that has features to(1) visualize the degree of the user's boredom and(2) recommend information that can reduce it. Then, an evaluation experiment was conducted using a system developed. The result shows that an information recommendation system proposed in this study can get the user less bored and more satisfied when used continuously.
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Report
(4 results)
Research Products
(14 results)
