オブジェクトデザインシステム開発のための三次元形状モデルの感性評価機構の解析

抄録

In order to develop a 3D object-design-system, we intend to construct a Java-based application to serve as Kansei information processing. Designers can customize the system to design the solid primitives, such as ball, cone, cylinder, cube and taper elements, etc., by using their Kansei and then combine the reconfigured solids as an object to reflect the users' desires. In order to mine the Kansei information and construct a Kansei database in the application, Kansei evaluation for ten models of a primitive element cone was measured by the semantic differential method. Fuzzy set theory was applied to investigate the measurement results. The primitive model could be classified among four pairs of adjectives. The amount of the features of classified primitive models was defined as the Kansei evaluation variable. The machine-learning algorithm of an individual adaptation object-design-system was proposed using the Kansei evaluation variable.