Method of Emerging Delight Design Based on KANSEI

Y. Tanaka, H. Aoyama
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Abstract

With the intensification of international competition and diversification of customer tastes, the concept design and architectural design contributing to the function and products of the appearance shape has become an important issue in product development. Therefore, in addition to the manufacturing technology supported by high quality and high performance, the establishment of delight value-added manufacturing technology is required. In recent years, delight design has been attracting attention to create a design that enhances customer satisfaction. Delight design means a design with attractive quality, in addition to the conventional performance quality and must-be quality. However, attractive quality depends on the quality of the designer. Moreover, it is difficult to define such a concept because it is considered to exist in a state similar to an idea, which means that it is vague and difficult to express. Therefore, in this study, we propose a method of constructing a neural network customer value model that creates a product design from KANSEI using customer KANSEI data. Additionally, we propose a method of constructing a neural network customer evaluation model as the inverse model. The customer evaluation model analyzes the KANSEI of individual customers and creates a delight design, which is more appealing to an individual customer. In this study, this proposed method was applied to the side shape of a car’s body and the shape of a beer cup.
基于感性的新兴喜悦设计方法
随着国际竞争的加剧和消费者品味的多样化,有助于产品功能和外观造型的概念设计和建筑设计已成为产品开发中的一个重要问题。因此,除了以高品质、高性能为支撑的制造技术外,还需要建立愉悦的增值制造技术。近年来,快乐设计一直备受关注,创造一种能提高顾客满意度的设计。赏心悦目的设计是指除了常规的性能品质和必备品质之外,还具有吸引人品质的设计。然而,吸引人的质量取决于设计师的质量。而且,这种概念很难定义,因为它被认为是以一种类似于观念的状态存在的,这意味着它是模糊的,难以表达。因此,在本研究中,我们提出了一种构建神经网络顾客价值模型的方法,该模型利用顾客的感性感性数据从感性感性中创建产品设计。此外,我们还提出了一种构建神经网络客户评价模型作为逆模型的方法。顾客评价模型分析个体顾客的感性,创造出更能吸引个体顾客的愉悦设计。在本研究中,将该方法应用于汽车车身的侧面形状和啤酒杯的形状。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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