抄録
The design of graphical Kansei models varies among Kansei domains. This report introduces a Kansei modeling technique based on a Bayesian network and correlation analysis. These methods can explain the connection among concepts such as human physiological and psychological responses in a simple structure. This technique is expected to be helpful to start Kansei modeling for new domains with basic knowledge of Kansei and to construct a graphical Bayesian model to explain undefined Kansei factors of a product. For this study, we use experimental data and questionnaire results of facial pack application to describe this technique. We intend to show how Bayesian networks can clarify the effectiveness of a specific mask for individual users.
