A Method for Supporting Aesthetic Design Based on the Analysis of the Relationships between Customer Kansei and Aesthetic Element
A Method for Supporting Aesthetic Design Based on the Analysis of the Relationships between Customer Kansei and Aesthetic Element
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基于顾客感性与审美元素关系分析的审美设计支撑方法
DOI：
10.1080/16864360.2015.1114385
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发表时间：
2016
影响因子：
--
通讯作者：
Masatake Higashi
中科院分区：
文献类型：
--
作者：
Masakazu Kobayashi;Takuma Kinumura;Masatake Higashi
由于科学技术的成熟，公司需要区分他们的产品在主观品质方面，如美学，其评价很大程度上取决于客户的感觉，即感性。在本研究中，我们发展一种新的美学设计支持方法，基于对顾客感性的分析。在所提出的方法中，客户对现有产品进行感性评价。在此基础上，利用SOM（Self-organizing map）和传统的人工神经网络构建了一个三层模型来描述顾客感性与产品美学之间的关系。在建立模型后，客户表明他/她对新产品的需求和最佳美学设计探索使用遗传算法。在案例研究中，所提出的方法应用于办公椅的设计，其有效性得到证实。
Due to maturation of science and technology, companies are required to differentiate their products in terms of subjective qualities such as aesthetics whose evaluation heavily depends on customer feeling i.e. kansei. In this research, we develop a new aesthetic design support method based on analysis of customer kansei. In the proposed method, a customer makes kansei evaluations of existing products. Based on their result, a three-layer model that represents the relationships between customer's kansei and product aesthetics is constructed by using SOM (Self-organizing map) and traditional artificial neural network. After constructing the model, a customer indicates his / her needs for a new product and optimal aesthetic design is explored by using genetic algorithm. In the case study, the proposed method is applied to office chair design and its effectiveness is confirmed.