3D CG，画像処理，多変量解析からAI活用による，感性工学でのものづくり

抄録

In this review, methodologies of Kansei Engineering have been introduced. Kansei Engineering consists of techniques for measuring Kansei and analyzing it mathematically, then applying the results to product development. The basic methods of KEs are modified semantic differential method, principal component analysis and multiple regression. KE has been studied to expand the boundaries of the methods used to analyze Kansei. Machine learning methods including neural networks have been developed and applied. Other mathematical methods such as morphometrics are also applied. Measurement based 3D CG, VR are used for detailed expression of model details. Finally, two AI based challenges are presented. One is CNN based Kansei mimicking system and another is generative AI for exploring novel design ideas based on KE.