The identification and translation of customer needs early in the design process is a major challenge for product design researchers.Some needs are explicit and customers can state them very clearly. Other needs are implicit, so customers cannot express them,e.g., those pertaining to the affective and emotional sphere. In this work, we describe the methods most commonly used tocapture explicit and emotional customer needs, and the traditional ways in which they are used. Moreover, an integration ofQFD and Kansei engineering, a simplification of Kano methodology, and a new attribute weighing methodology based on the “choicetime” are discussed for the design of an innovative postural seat system for patients affected by mental retardation.
CITATION STYLE
Statistics for Innovation. (2009). Statistics for Innovation. Springer Milan. https://doi.org/10.1007/978-88-470-0815-1
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