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Erschienen in:
2014 | OriginalPaper | Buchkapitel
Customization of Products Assisted by Kansei Engineering, Sensory Analysis and Soft Computing
verfasst von : Jose M. Alonso, David P. Pancho, Luis Magdalena
Erschienen in: Information Processing and Management of Uncertainty in Knowledge-Based Systems
Verlag: Springer International Publishing
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This paper presents a new methodology aimed at making simpler the product/market fit process. We propose a user-centered approach inspired on the Oriental philosophy that is behind Kansei Engineering. In essence, we advocate for customization of products guided by users’ expectations. Our proposal combines Sensory Analysis and Soft Computing techniques in order to uncover what users think but also what they feel and desire when facing new products. That is elicitation of the so-called
kanseis
or “psychological feelings”. Then, we can design new prototypes that truly matter to people because they fit the deepest users’ demands. Thus, improving innovation and marketing success rate. We have illustrated the details of our proposal in a case study related to gin packaging.