| Project/Area Number |
16200006
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| Research Category |
Grant-in-Aid for Scientific Research (A)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Intelligent informatics
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| Research Institution | The University of Tokyo (2005-2007)
University of Tsukuba (2004) |
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Principal Investigator |
OHSAWA Yukio The University of Tokyo, Graduate School of Engineering, Associate Professor (20273609)
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| Co-Investigator(Kenkyū-buntansha) |
YAMADA Yuji University of Tsukuba, School of Business Sciences, Associate Professor (50344859)
YADA Katsutoshi Kansai University, Faculty of Commerce, Professor (00298811)
TAKAMA Yasufumi Tokyo Metropolitan University, Faculty of System Design, Associate Professor (20313364)
SUNAYAMA Wataru Hiroshima City University, Faculty of Information Sciences, Associate Professor (40314398)
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| Project Period (FY) |
2004 – 2007
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| Project Status |
Completed (Fiscal Year 2007)
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| Budget Amount *help |
¥31,590,000 (Direct Cost: ¥24,300,000、Indirect Cost: ¥7,290,000)
Fiscal Year 2007: ¥6,500,000 (Direct Cost: ¥5,000,000、Indirect Cost: ¥1,500,000)
Fiscal Year 2006: ¥7,410,000 (Direct Cost: ¥5,700,000、Indirect Cost: ¥1,710,000)
Fiscal Year 2005: ¥8,060,000 (Direct Cost: ¥6,200,000、Indirect Cost: ¥1,860,000)
Fiscal Year 2004: ¥9,620,000 (Direct Cost: ¥7,400,000、Indirect Cost: ¥2,220,000)
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| Keywords | Organizational chance discovery / Scenario map systems / Communication / Innovation / Sense of space sharing / Strategy planning / Data visualization / チャンス発見 / 合意形成 / 創造支援 / 織的意思決定 / データマイニング / シナリオマップ / 組織的意思決定 / マーケティング / デザイン支援 / シナリオ・マップ / アノテーション支援技術 / 環境の地図表現 |
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| Research Abstract |
In order to aid in the organizational decision process, we invented methods for constructing systems for visualizing scenario maps from the real data on business and having people do collaborations by sharing the obtained image. Here, an organization means a number of people who share the same purpose, exemplified by (a) the members of the present project, (b) a laboratory in a university, and c a collaboration team of members coming from across difference companies. The fundamental functions aimed at by our study were: (1) scenario maps visualizing data on business, (2) the human-machine interface to enable collaborating members to create future scenarios on the scenario map, and (3) aid the collection of suitable members for the collaboration from remote working places.
From the project of four years, we realized not only the remote meetings of people from different institutes, but also showed real-space meetings of known users are more important for real business decisions. The method we developed enables creative communications of both on-line (remote) and on-site (in the same room) members. Although we changed the research sub-goal (3) above, i.e., to search suitable members, into to put fixed members in a well-designed environment, the results show stronger creativity of collaborators' organization.
In order to realize this application-oriented fruit, we also founded basic components, i.e., the algorithms for data analysis. The mathematical model by Yamada and Sunayama provides useful information to users in business, and the interface modules presented by Takama enables a number of collaboration members to achieve high performance of a project. The overall result of this research project has been presented to business users as well as academic researchers, with the frequent interaction with user's real working places by Ohsawa and Yada.
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