A study of Kansei design methodology by fusion with natural language processing and network technology
| Project/Area Number |
23700251
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Sensitivity informatics/Soft computing
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| Research Institution | Gifu Shotoku Gakuen University |
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Principal Investigator |
Yamamoto Eiko 岐阜聖徳学園大学, 経済情報学部, 准教授 (90450692)
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| Project Period (FY) |
2011-04-28 – 2016-03-31
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| Project Status |
Completed (Fiscal Year 2015)
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| Budget Amount *help |
¥2,990,000 (Direct Cost: ¥2,300,000、Indirect Cost: ¥690,000)
Fiscal Year 2013: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2012: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2011: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
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| Keywords | 自然言語処理 / 連想 / ネットワーク構築 / 印象分析 / 感性デザイン |
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| Outline of Final Research Achievements |
We have aimed to establish a methodology to capture sensitivity (Kansei) from the impression for things and propose a sensitivity design method based on evaluation by the methodology. As a first step, based on the idea that expressing the impression of things corresponds to associating the concept from things, we proposed a method for simulating and visualizing the impression, according to qualitatively handle the impression with words and supplement the quantitative representation by constructing a network consisting of those words.
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Report
(6 results)
Research Products
(5 results)
