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Abstract
With the increasingly intense competition in the market, more attention has been paid to customer’s perceptual requirements. Combining human sensibility and technology, Kansei Engineering plays a crucial role for industrial designers in making decisions at an earlier design stage in product development. However, sometimes it is challenging to define the customer requirements during the market research phase, especially for the perceptual requirements. Given this problem, this paper develops a process for establishing perceptual indexes based on the axiomatic design approach to improve design efficiency. To achieve this, an initial perceptual index is first built based on data previously collected from designers or design agencies. Then, the theory of axiomatic design is used to classify the schemes. The final perceptual index is filtered and built according to the frequency of occurrence.
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