KANSEI MODELING BASED ON A BAYESIAN NETWORK AND ONTOLOGY

Abstract

Advance development of a system (human friendly system) between humans and computers is more important than the evolution of computer hardware. The problem for the progress is directed to “How do we acquire and process Kansei? How do we produce a user model and a network service using Kansei?”. For prior research, we constructed fatigue models based on a Bayes-ian network using psychological and physiological data [1]. We proposed a convergent inference system framework using multiple Bayesian networks based on the ontology and agent technology [2]. In this paper, we describe the specific ontology for Kansei modeling.