An Information Theoretic Methodology for Kansei Engineering: Kansei Channel and Subjective Probability

This paper proposes an application of the notions in Information Theory to Kansei Engineering toward a mathematical methodology for the analysis in the Kansei Engineering field. First, we propose a new definition of correlation using the mutual information in Information Theory. Second, we present a relation between the Bayes´ Updating using the notion of binary channel and Sequential Probability Ratio Test (SPRT). Third, we show a possibility that the computation of optimal input probability distribution (OIPD) of channel capacity can be used as a tool of Clustering Analysis.