1-113 感性モデルに基づく街並みの色彩計画支援システム

概要

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Recently, the problem of how to live in a comfortable environment has become more important, and a townscape has increasingly attracted attention. In the townscape, keeping harmony with environment is a common goal. But useful and meaningful goals are expressing individuality and town image in the townscape. In this paper, we propose a system that supports improvement of the townscape. The proposed system finds the best color coordination for street by considering three elements : town image, color harmony, and the cost to change colors. Though we have to treat the image in the system, it's difficult to quantify the image. In our research, we constructed an emotional model between town image and street colors from the approach of Kansei engineering. First, we conduct experiments using the SD (semantic differential) method to clarify the relationship between town image and street colors. After the experiments, we construct a model using neural networks based on these results. Testing of the model show that the model worked well for more than 80% of the samples.
社団法人日本機械学会の論文
2002-11-14