2017 Fiscal Year Final Research Report
A study of a collective intelligence based museum guide system corresponding to user's embodied interaction
| Project/Area Number |
15K01151
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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 |
Cultural assets study and museology
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| Research Institution | Ryukoku University |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
岡田 至弘 龍谷大学, 理工学部, 教授 (30127063)
中村 裕一 京都大学, 学術情報メディアセンター, 教授 (40227947)
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| Co-Investigator(Renkei-kenkyūsha) |
NAKAMURA Yuichi 京都大学, 学術情報メディアセンター, 教授 (40227947)
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| Project Period (FY) |
2015-04-01 – 2018-03-31
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| Keywords | ガイドシステム / 博物館 / 身体性 / 集合知 |
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| Outline of Final Research Achievements |
When we watch exhibits in a museum, it is important to consider not only what we watch but also how we watch them. However, guide systems generally help us only from the viewpoint of what we watch. To solve this problem, we developed a guide system corresponding to user's embodied interaction.
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| Free Research Field |
メディア工学
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