Advertisement

Applying Kansei Engineering to Decision Making in Fragrance Form Design

  • Chun-Chun Wei
  • Min-Yuan Ma
  • Yang-Cheng Lin
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 10)

Abstract

The decision making process is usually vague and hard to describe clearly, which is regarded as something of a black box. It is essential for companies or manufacturers to comprehend the consumer’s thinking or feeling. In order to help product designer best meet the consumer’s specific feeling and expectation, we conduct an experimental study on fragrances using the Kansei Engineering approach and the Quantification Theory Type I analysis. The result of the experimental analysis shows that the quantitative models and design support information can be used to find out the optimal combination of product form elements in terms of a set of given product images. This approach provides an effective mechanism for facilitating the new product design process, and can be applied to other consumer products with various design elements and product images.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Basso, A., Goldberg, D., Greenspan, S., Weimer, D.: First impressions: Emotional and cognitive factors underlying judgments of trust e-commerce. In: Proceedings of the 3rd ACM Conference on Electronic Commerce, Tampa, FL, USA, pp. 137–143 (2001)Google Scholar
  2. 2.
    Cross, N.: Engineering Design Methods: Strategies for Product Design. John Wiley and Sons, Chichester (2000)Google Scholar
  3. 3.
    Helander, M.G., Khalid, H.M.: Modeling the customer in electronic commerce. Applied Ergonomics 31, 609–619 (2000)CrossRefGoogle Scholar
  4. 4.
    Huang, J.-S., Ma, M.-Y., Chen, C.-H.: Research on Predicting Models of Annoyance under the Operation of Digital Hi-tech Products. Design Studies 28, 39–58 (2008)CrossRefGoogle Scholar
  5. 5.
    Kim, J.U., Kim, W.J., Park, S.C.: Consumer perceptions on web advertisements and motivation factors to purchase in the online shopping. Computers in Human Behavior 26, 1208–1222 (2010)CrossRefGoogle Scholar
  6. 6.
    Komazawa, T., Hayashi, C.: In: de Dombal, F.T., Gremy, F. (eds.) A Statistical Method for Quantification of Categorical Data and its Applications to Medical Science, North-Holland Publishing Company, Amsterdam (1976)Google Scholar
  7. 7.
    Lai, H.-H., Lin, Y.-C., Yeh, C.-H., Wei, C.-H.: User Oriented Design for the Optimal Combination on Product Design. International Journal of Production Economics 100, 253–267 (2006)CrossRefGoogle Scholar
  8. 8.
    Lin, Y.-C., Lai, H.-H., Yeh, C.-H.: Consumer-oriented product form design based on fuzzy logic: A case study of mobile phones. International Journal of Industrial Ergonomics 37, 531–543 (2007)CrossRefGoogle Scholar
  9. 9.
    Ma, M.-Y., Chen, C.-Y., Wu, F.-G.: A Design Decision-making Support Model for Customized Product Color Combination. Computers in Industry 58, 504–518 (2007)CrossRefGoogle Scholar
  10. 10.
    Nagamachi, M.: Kansei engineering: A new ergonomics consumer-oriented techology for product development. International Journal of Industrial Ergonomics 15, 3–10 (1995)CrossRefGoogle Scholar
  11. 11.
    Shieh, M.-D., Yang, C.-C.: Classification model for product form design using fuzzy support vector machines. Computers and Industrial Engineering 55, 150–164 (2008)CrossRefGoogle Scholar
  12. 12.
    Walker, G.H., Stanton, N.A., Jenkins, D.P., Salmon, P.M.: From telephones to iPhones: Applying systems thinking to networked, interoperable products. Applied Ergonomics 40, 206–215 (2009)CrossRefGoogle Scholar
  13. 13.
    Wang, C.-C.: Development of an Integrated Strategy for Customer Requirement Oriented Product Design. Ph.D. Dissertation, Department of Industrial Design, National Cheng Kung University, Tainan, Taiwan (2008)Google Scholar
  14. 14.
    Yamamoto, M., Lambert, D.R.: The impact of product aesthetics on the evaluation of industrial products. Journal of Product Innovation Management 11, 309–324 (1994)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Chun-Chun Wei
    • 1
  • Min-Yuan Ma
    • 1
  • Yang-Cheng Lin
    • 2
  1. 1.Department of Industrial DesignNational Cheng Kung UniversityTainaiTaiwan
  2. 2.Department of Arts and DesignNational Dong Hwa UniversityHualienTaiwan

Personalised recommendations