Research On Product Form Intelligent Evaluation (PFIE) System Based On Users' Kansei Image

With the ameliorating of substantial and cultural lives, the consumers' needs have gradually changed, from the practical functions of products to the emotional or Kansei contents. Product form is the important intermedium between designer and user. The traditional product form design, designer mainly depends on his or her own experience and intuition, lacking of effective theories and tests support. Usually, it's difficult to meet users' emotional or Kansei needs correctly with high efficiency. On the theoretical and technical foundation of Kansei Engineering and Artificial Intelligence, this dissertation proposes the product form intelligent evaluation (PFIE) system frame based on users' Kansei image, aiming at building up a scientific index system for the prediction of users' Kansei image and the evaluation of product form, and providing a relatively objective reference foundation for the development and optimization of new product form design.The focuses of this dissertation lie in the investigation of the correlative factors between product form and users' Kansei image, and how to connect vague abstract users' Kansei image information with the concrete product form design information. With the combination approach of theoretical research and practice demonstration, Artificial Intelligence was employed as the major technical means to build up the PFIE system frame model based on users' Kansei image. At the same time, the technical basis and structure of PFIE system frame was investigated deeply, and verified by a practical case implemented in artificial neural networks (ANNs). It has been a central issue in present product design fields that studying Kansei design relative with users' psychological acknowledge. In the comparison with other research which used math and logic statistical analysis as primary technical means, the originality innovation of this dissertation is applying artificial intelligence technique instead of complicated math calculation and logic reasoning.