A KANSEI word processing system and personal adjustment

Abstract

This paper introduces the basic concept of a KANSEI word processing system and shows how to construct the system by computer simulation. First, we show image code dictionary of mixed emotions which are regarded as emotions in usual life, introduced by Plutchik (1960). Next, the theory for a subjective observation model to the application of emotion processing system is briefly explained. Then, some attractive results obtained by the simulated emotion processing system are shown, namely what kind of emotions are observed by subjective observations, when a image code database is used for the input signal. Furthermore, we could obtain several emotional clustering diagrams processed by pair vectors, such as optimism and curiosity, which is a very attractive result from a psychological viewpoint.