Published: 2008-02-15
ISBN:
ISSN: 1650-3686 (print), 1650-3740 (online)
There are two ways of a product development; one is called as “product-out” philosophy which implies the manufacturer provides technology and design specifications according to decision making of the manufacturer’s side. Another way is “market-in” philosophy which means consumer-orientation for a product development. By this philosophy a manufacturer considers the consumer’s needs and wants and these are transferred to the product function and design. Nowadays the consumers desire consumer-oriented product development; because they have a lot of goods at home and they want to have goods more needed and attractive; very sensitive to their personality.
Kansei Engineering aims to develop such a product that people want to have deeply in their mind. The term of “kansei” implies psychological feeling and needs in mind. Before purchase of a passenger car; every one imagines in mind of “powerful engine”; “easy operation”; “beautiful and premium exterior; “cool and relaxed interior” 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 consumers’ 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)
Kansei Engineering; Affective Engineering; Customer-oriented; SD scale; Factor Analysis; Quantitative Theory; Rough Sets Theory
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.
Nagamachi; M.(1974): A study of emotional technology; Jap. J of Ergonomics; 10 (2); 121- 130.
Nagamachi; M. (1989): Kansei Engineering; Kaibundou; Tokyo.
Nagamachi; M. (1995): Introduction to Kansei Engineering; Japan Standard Association; Tokyo.
Nagamachi; M. (1996): Kansei Engineering and its applications; Jap. J. of Ergonomics; 32 (6); 286-289.
Nagamachi; M; (1998): Kansei Engineering: A new consumer-oriented technology for product development. In W. Karwowski & W. S. Morris (Eds.); The Occupational Ergonomics Handbook; pp. 1835-1848.
Nagamachi; M. (2002): Kansei Engineering in consumer product design; Ergonomics in Design; 10 (2); 5-10.
Nagamachi; M. (2005): Product Development and Kansei; Kaibundou; Tokyo
Nagamachi; M. (2007): From Kansei Engineering to Kansei Ergonomics; Ergonomia (in print).
Nagamachi; M.(2006): Kansei Engineering and Rough Sets Model; RSCTC; LNAI; 4259; Springer;.27-37; (2006).
Nishino; T.(2005): “Rough Sets and Kansei”; 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.
