Paper Info
Title
Customization of Products Assisted by Kansei Engineering, Sensory Analysis and Soft Computing.
Abstract
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.
Year
DOI
Venue
2014
10.1007/978-3-319-08855-6_62
Communications in Computer and Information Science
Keywords
Field
DocType
Fuzzy Logic,Sensory Analysis,Consumer Analysis,Kansei,Iterative Design,Marketing,Gin Packaging
Consumer analysis,Computer science,Fuzzy logic,Kansei engineering,Kansei,Human–computer interaction,Iterative design,Soft computing,Sensory analysis,Multimedia,Personalization
Conference
Volume
ISSN
Citations 
443
1865-0929
0
PageRank 
References 
Authors
0.34
7
3
Name
Order
Citations
PageRank
José M. Alonso142830.18
David P. Pancho2414.95
Luis Magdalena3108660.49