Abstract
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.
Highlights
“Kansei” is a Japanese word corresponding to “feelings” or “impression.” Kansei engineering originated with Nagamachi about 30 years ago and is a method to convert customers’ ambiguous ideas about products into a detailed product design and thereby to assist designers by providing guidance for product development that is in tune with customers’ Kansei
This technique has advanced by incorporating artificial intelligence approaches, such as neural networks, genetic algorithms, and rough set theory, and by including various computer graphics (CG)
The most common implementation involves three steps: (1) selection of Kansei words, which entails collecting and choosing adjectives (e.g., “warm”) and domain-specific jargon; (2) the Kansei evaluation experiment, which is a psychological evaluation of customer perceptions of various products and product samples using
Summary
“Kansei” is a Japanese word corresponding to “feelings” or “impression.” Kansei engineering originated with Nagamachi about 30 years ago and is a method to convert customers’ ambiguous ideas about products into a detailed product design and thereby to assist designers by providing guidance for product development that is in tune with customers’ Kansei. It helps customers choose from a variety of products those that fit their Kansei. We have been developing Kansei engineering systems for the design of women’s suits, interiors of passenger vehicles, construction machines, entry doors, and other uses [7]
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