System for visualizing individual Kansei information

In this paper we developed a system named KINVISS (Kansei INformation VISualizing System) that enables the visualization of individual Kansei information by aligning text objects within a space. The KINVISS is suitable for acquiring "individual" Kansei information in contrast with conventional methods such as the "Semantic Differential Method". When implementing the system, an application tool of knowledge database studies called "Thinking Assist System" was referred to, in order to visualize the structure of Kansei information. In addition, a psychological model of Kansei was built and implemented into the system in order to represent the non-linearity of Kansei. Then, we demonstrated the application of this system for housing interior coordination. As a result, the congruency between system prediction and the users subjective report was good enough (r=0.80), and the performance of the KINVISS in predicting user preferences or interests is considered to be satisfied. We concluded that KINVISS is applicable as an assistance tool for adapting all types of industrial products for various consumers.