基于感性工学方法的产品设计分析

Analysis of Product Design Based on Kansei Engineering Methods

以感性工学理论为基础,对产品感性意象进行量化研究,运用统计学方法建立产品设计元素空间和感性意象评价值矩阵,并应用BP神经网络算法构建产品形态元素和感性意象的关联模型,得出一具体设计目标下的产品形态元素组合方案。以家具椅为对象,体现江南区域文化意象为目标,采用BP神经网络算法,通过计算机软件MATLAB编程进行学习训练并模拟预测,最终得出结论指导家具椅设计方案。将感性意象量化并系统化,使以感性需求为导向的产品设计更具科学性和实践指导意义,为开发出更符合用户感性需求、更具有市场竞争的产品提供了一种设计思路。

Based on the Kansei engineering theory, this paper does the quantization research on the Kansei image of industrial products, establishes the evaluation matrix of product design elements and Kansei images using the statistical method, and builds the correlation model of product forms＇ elements and Kansei images by use of BP neural network algorithm, to work out the scheme of guiding the product form design under some specific purpose. Taking chair furniture as an example, with embod- ying the Jiangnan region culture as the goal, this paper uses BP neural network algorithm for training, simulating and predicting with MATLAB computer software, so that eventually it works out the scheme of guiding the chair design. It also quantizes the Kansei image systematically makes the perceptual demand oriented product design be of more scientific and practical guiding significance and provies a design method for developing more products in line with the users＇ perceptual demand and market competition.