1990 Fiscal Year Final Research Report Summary
Extraction, Search and Representation of Kansei Information
| Project/Area Number |
01302033
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| Research Category |
Grant-in-Aid for Co-operative Research (A)
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| Allocation Type | Single-year Grants |
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| Research Field |
計算機工学
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| Research Institution | Osaka University |
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Principal Investigator |
TSUJI Saburo Osaka University, Faculty of Engineering Science, Professor, 基礎工学部, 教授 (60029527)
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| Co-Investigator(Kenkyū-buntansha) |
INOKUCHI Seiji Osaka University, Faculty of Engineering Science, Professor, 基礎工学部, 教授 (90029463)
MATSUYAMA Takashi Okayama University, Faculty of Engineering, Professor, 工学部, 教授 (10109035)
NAGAO Makoto Kyoto University, Faculty of Engineering, Professor, 工学部, 教授 (30025960)
DOSHITS Shuuji Kyoto University, Faculty of Engineering, Professor, 工学部, 教授 (00025925)
KUNII Toshiyasu Tokyo University, Faculty of Science, Professor, 理学部, 教授 (50013743)
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| Project Period (FY) |
1989 – 1990
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| Keywords | Kansei Information / Kansei Communication / Kansei Data Base |
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| Research Abstract |
The purpose of this project is Extraction, Search and Representation of Kansei Information. We had totally 7 symposiums in the project.
Investigators presented about Kansei Information processing at the symposiums and discussed on Kansei Information Science.
The targets of Kansei Information processing are image and acoustic media which are treated in the field of artificial intelligence. In the conventional Information Science, much information is rejected to normalize patterns. Investigators reported the importance of such information. In the discussion, following points are found out.
Kansei Information is information which cannot normalize using conventional technique.
There needs large amount of storage to treat Kansei Information.
Kansei Information is subjective and fuzzy.
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