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Proceedings of CAD'15, 2015, 80-84
A Method for Supporting Aesthetic Design based on the Analysis of the Relationships between Customer Kansei and Aesthetic Element

Masakazu Kobayashi, Takuma Kinumura, Masatake Higashi, Toyota Technological Institute

Abstract. Due to maturation of science and technology, it becomes increasingly difficult to differentiate products in terms of performance, functional feature or price and companies are required to differentiate their products in terms of subjective and abstract qualities such as aesthetic and comfort that are evaluated by customer feeling i.e. kansei. In the field of emotional engineering or kansei engineering, the methods for measuring customer kansei or customer’s kansei evaluation have been developed and applied to many case studies. In these methods, an impression of a product is evaluated using adjectives named “Kansei words” on a scale of 1 to 5. In addition to measurement, Methods for supporting aesthetic design have been developed since evaluation of product aesthetics heavily depends on customer kansei. Design support methods using interactive reduct evolutionary computation or interactive genetic algorithm are such examples. These methods generate the aesthetic design which a customer prefers the best by analyzing the relationships between the results of customer’s kansei evaluation and aesthetic elements of existing products. Design support method using rough set theory has also been developed. In the field of CG or CAD, formulation and application of aesthetic curves and surfaces have been studied.

Keywords. Aesthetic design, Kansei engineering, Self-organization map, Artificial neural network, Genetic algorithm, Office chair design

DOI: 10.14733/cadconfP.2015.80-84