Kansei Engineering aims to develop such a product that people want to have deeply in their mind. The term of â€śkanseiâ€ť implies psychological feeling and needs in mind. Before purchase of a passenger car; every one imagines in mind of â€śpowerful engineâ€ť; â€śeasy operationâ€ť; â€śbeautiful and premium exterior; â€ścool and relaxed interiorâ€ť and son. These words express the kansei; and the consumers willingly want to have such a kind of vehicle; if the manufacturer realizes a vehicle just fit to their imagination. However; it is regret that we have not ever had such science and technology as to treat technologically psychological feeling and needs (kansei).
The kansei engineering is able to grasp the consumersâ€™ kansei; to analyze the kansei using statistical methods; and to transfer the analyzed data to the design domain. Nagamachi founded the kansei engineering around in 1970 in Hiroshima as a customer-oriented product development. He has engaged in the development of the kansei engineering for over 35 years and developed a lot of the kansei products and the kansei engineering methods (Nagamachi; 1974; 1989; 1995; 1996; 1998; 2002: 2005)
Keywords: Kansei Engineering; Affective Engineering; Customer-oriented; SD scale; Factor Analysis; Quantitative Theory; Rough Sets Theory
10th QMOD Conference. Quality Management and Organiqatinal Development. Our Dreams of Excellence; 18-20 June; 2007 in Helsingborg; Sweden
Hirata Okamoto; R. (2007); Comparison between statistical and lower / upper approximations rough sets models for beer can design and prototype evaluation. 10th International Conference of QMOD; 2007.
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Nishino; T.(2005): â€śRough Sets and Kanseiâ€ť; In Nagamachi; M.(ed.) (2005); Product Development and Kansei; Kaibundo; Tokyo.
Nishino; T. Nagamachi; M and Tanaka; H. (2005). Variable Precision Bayesian Rough Sets Model and Its Application to Human Evaluation Data; RSFDGrC; LNAI 3641; Springer; 294-303.
Nishino; T. Nagamachi; M and Tanaka; H. (2006a): Variable Precision Bayesian Rough Sets Model and Its Application to Kansei Engineering; Transactions on Rough Sets V (International Journal of Rough Set Society); LNCS 4100; Springer; 190-206.
Nishino; T.; Nagamachi; M. and Sakawa; M. (2006b): Acquisition of Kansei Decision Rules of Coffee Flavor Using Rough Set Method; Kansei Engineering International; Vol. 5; No.4; 41-50.
Nishino; T.; Sakawa; M.; Nagamachi; M.; Kato; K. and Tanaka; H (2006c).: A Comparative Study on Approximations of Decision Class and Rule Acquisition by Rough Sets Model: An application to the Design of Children Shoes; Kansei Engineering International; Vol. 5; No.4; 51-60.