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A posterior preference articulation approach to Kansei engineering system for product form design

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Abstract

Understanding the needs of consumers is essential to the success of product design. Affective responses are a reflection of affective needs, often encompassing many aspects. Therefore, the process of designing products capable of satisfying multiple affective responses (MARs) falls into the category of multi-objective optimization (MOO). To solve the MOO problem, most existing approaches require the information for decision-making before or during the solving process, which limits their usefulness to designers or consumers. This paper proposes a posterior preference articulation approach to Kansei engineering system aimed at optimizing product form design to deal with MARs simultaneously. Design analysis is first used to identify design variables and MARs. Based on these results, a MOO model that involves maximizing MRAs is constructed. An improved version of the strength Pareto evolutionary algorithm (SPEA2) is applied to solve this MOO model so as to obtain Pareto solutions. After that, the Choquet fuzzy integral, which has the ability to take into account the interaction among the MARs, is employed to determine the optimal design from the Pareto solutions in accordance with the consumer preference. A case study involving the design of a vase form was conducted to illustrate the proposed approach. The results demonstrate that this approach can effectively obtain the optimal design solution, and be used as a universal approach for optimizing product form design concerning MARs.

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Acknowledgements

The authors would like to express their sincere thanks to the study participants for their time and involvement in the experiment.

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Authors and Affiliations

  1. School of Mechanical and Electrical Engineering, Jiangsu Normal University, Xuzhou, 221116, China

    Yongfeng Li

  2. Department of Industrial Design, National Cheng Kung University, No. 1, University Road, Tainan, 70101, Taiwan, ROC

    Meng-Dar Shieh

  3. Department of Multimedia and Entertainment Science, Southern Taiwan University of Science and Technology, No. 1, Nantai Street, Yungkang District, Tainan, 71005, Taiwan, ROC

    Chih-Chieh Yang

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  1. Yongfeng Li
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Correspondence to Meng-Dar Shieh.

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Li, Y., Shieh, MD. & Yang, CC. A posterior preference articulation approach to Kansei engineering system for product form design. Res Eng Design 30, 3–19 (2019). https://doi.org/10.1007/s00163-018-0297-4

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