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A KE-LSA approach for user-centered design

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Abstract

In today’s highly competitive business environment, most successful companies use ‘user-centered’ design techniques, to create products that meet user needs. Designers have used traditional user-centered design techniques, with some degree of success. However, in today’s market, companies need more accurate, more advanced user-centered design techniques, to mass produce customized products for individual users. This study introduces a new KE-LSA approach for user-centered design. Prior techniques used Kansei engineering (KE) for product design. Prior techniques used latent semantic analysis (LSA) for document indexing. The KE-LSA approach uses KE and a KE-LSA semantic space for individually customized product design. A case study is used to describe the KE-LSA approach. The case study uses the KE-LSA approach to match Kansei values for individual users’ needs to cell phone designs for each user. The case study also determines accuracy for matching KE-LSA designs to each user’s actual choice for a cell phone. In the case study, an iterative KE-LSA approach matched designs to users’ choices, with 82.3% overall accuracy. The iterative KE-LSA approach improved overall accuracy 11.4%, compared to a traditional iterative KE-QT1 approach. The KE-LSA approach improves matching accuracy for mass producing individually customized cell phone designs. Therefore, this study improves individually customized product design and product quality.

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Authors and Affiliations

  1. Department of Mechanical Engineering, National Taiwan University, Taipei, Taiwan

    Shana Smith, Gregory C. Smith & Yu-Rong Chen

Authors
  1. Shana Smith
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  2. Gregory C. Smith
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  3. Yu-Rong Chen
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Correspondence to Shana Smith.

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Smith, S., Smith, G.C. & Chen, YR. A KE-LSA approach for user-centered design. J Intell Manuf 24, 919–933 (2013). https://doi.org/10.1007/s10845-012-0625-x

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  • DOI: https://doi.org/10.1007/s10845-012-0625-x

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