Kansei agent framework for Kansei engineering
by Kentaro Fukuta, Takashi Uozumi, Tomomasa Nagashima
International Journal of Biometrics (IJBM), Vol. 2, No. 2, 2010

Abstract: It becomes more and more important to develop an intelligent interface flexibly mediating human beings and computers than the evolution of computer hardware. Typical problems required for progress are, for instance, ''How do we acquire and process Kansei information? or How do we construct a user model and a network service using Kansei?''. In the previous research, we constructed fatigue models based on a Bayesian Network (BN) using psychological and physiological data. We also proposed a convergent inference system framework (Kansei Engineering Framework for Information Integration: Kei²) using multiple BNs based on the ontology and agent technology. In this paper, we describe a behaviour of the agents who compose the major framework and move around in a ubiquitous home (smart home); we construct an agent platform for Kei².

Online publication date: Wed, 24-Feb-2010

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