Kansei Analysis of the Japanese Residential Garden and Development of a Low-Cost Virtual Reality Kansei Engineering System for Gardens
Kansei Analysis of the Japanese Residential Garden and Development of a Low-Cost Virtual Reality Kansei Engineering System for Gardens
复制标题
日本住宅花园的感性分析及低成本虚拟现实感性花园工程系统的开发
DOI：
10.1155/2011/295074
复制
发表时间：
2011
影响因子：
2.9
通讯作者：
Y. Matsubara
中科院分区：
文献类型：
--
作者：
T. Matsubara;S. Ishihara;Y. Matsubara
运用感性工学进行住宅庭园设计是一个具有挑战性的课题。景观组成部分，如岩石，树木和池塘，是广泛多样化的，并有大量的可能安排。这种大量的设计方案使得传统的分析，如线性回归及其变化，如量化理论I型（QT1），不适用于分析设计元素和感性评价之间的关系。我们采用了偏最小二乘（PLS）模型，有效地处理了大量的预测变量。PLS分析的复相关系数远高于QT1分析的复相关系数。 分析结果被用于创建一个低成本的虚拟现实感性工程系统，该系统允许与选定的感性词相对应的花园设计的可视化。为了渲染复杂的花园场景，我们开发了一个基于Java的原始3D计算和渲染库。花园以公共景观的方式展示，并配有立体3D图形投影。 渲染可以从低分辨率到高分辨率进行缩放，并支持放置对象阴影，这对于考虑日照白天变化的影响是必不可少的。基于感性分析的园林设计可视化可以促进设计师和客户在设计过程中的合作。
Residential garden design using Kansei engineering is a challenging problem. Landscaping components, such as rocks, trees, and ponds, are widely diversified and have a large number of possible arrangements. This large number of design alternatives makes conventional analyses, such as linear regression and its variations like Quantification Theory Type I (QT1), inapplicable for analyzing the relationships between design elements and the Kansei evaluation. We applied a partial least squares (PLS) model that effectively deals with a large number of predictor variables. The multiple correlation coefficient of the PLS analysis was much higher than that of the QT1 analysis. The results of the analyses were used to create a low‐cost virtual reality Kansei engineering system that permits visualization of garden designs corresponding to selected Kansei words. To render complex garden scenes, we developed an original 3D computation and rendering library built on Java. The garden is shown in public‐view style with stereo 3D graphic projection. The rendering is scalable from low to high resolution and enables drop object shadowing, which is indispensable for considering the effect of daytime changes in insolation. Visualizing the garden design based on Kansei analysis could facilitate collaboration between the designer and customer in the design process.