| Project/Area Number |
09680419
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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 |
社会システム工学
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| Research Institution | Tokyo Institute of Technology |
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Principal Investigator |
SAKANO Tatsuro Tokyo Institute of Technology, Graduate School of Decision Science & Technology Department of Social Engineering, Associate Professor (40196077)
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| Project Period (FY) |
1997 – 1998
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| Project Status |
Completed (Fiscal Year 1998)
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| Budget Amount *help |
¥3,200,000 (Direct Cost: ¥3,200,000)
Fiscal Year 1998: ¥1,100,000 (Direct Cost: ¥1,100,000)
Fiscal Year 1997: ¥2,100,000 (Direct Cost: ¥2,100,000)
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| Keywords | vision sharing / dialogue analysis / protocol analysis / general plan of local authority / aspect separation / 地域ビジョン / 多種体協調 / 地域ヴィジョン / 総合計画 / 形態素解析 / 様相 |
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| Research Abstract |
Creating and sharing a vision of a region's future through participation of diverse stake-holders are critical for the success of regional planning. This study aims at identifying the modes of dialogue, which catalyze the creative interaction among stake-holders. For this purpose, the thinking aloud protocol experiment is undertaken. The experiment is conducted to 14 subjects. Half of them are ordinary citizens and the rest of them are professional planners. The text excerpted from an official plan formulated by Kanagawa prefecture is shown to them. Their free response is recorded as thinking aloud protocol data. The result of the experiment is as follows:
1) The original protocol data are incomplete grammatically and semantically. The method to reduce the ambiguity which is unavoidably contained in natural protocol developed. It is found that the method, the separation of aspects from the propositions, considerably reduces the ambiguity.
2) The method to make diagram, which shows logical chains between statements, is developed. It is found that the method is useful to grasp the logical stream of the cognitive response to the vision.
3) Finally, two free dialogues are analyzed by applying the methods above. It is found that there are at least three levels to classify modes of dialogue; sentence level, paragraph level, and subject level. The method developed in this study is effective for the analysis for the sentence level. . Further development for the other two levels is necessary.
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