Abstract
In today’s business environment, all companies must prioritize their extraordinary consciousness to determine the customers’ design preferences before producing a certain product since customer design has become the primary concern of the companies’ marketing strategy. This study is related to the characteristic of product design based on customer emotional preferences using ‘Kansei Engineering’ with a mathematical approach. The approach used in this study is to identify and investigate the customer satisfaction through the customers’ preferences that are focused on the design of the car products. 5 Kansei words and 20 Multi-Purpose Vehicle (MPV) car designs (side view) were used as samples for this study. The design of the 20 cars are then manipulated into 12 curves using Bezier cubic equation, including the segmentation of the design profile. From the data gathered, the customer’s preferences towards the car’s design can be identified through the variables of Bezier curve equation.
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References
Shieh, M. D., Wang, T. H., & Yang, C. C.: A clustering approach to affective response dimension selection for product design. Journal of Convergence Information Technology, 6, 197–206 (2011).
Chen, J., Wang, K., Liang, J.: A hybrid kansei design expert system using artificial intelligence. In: Ho TB., Zhou ZH. (eds) PRICAI 2008: Trends in Artificial Intelligence. PRICAI 2008. Lecture Notes in Computer Science, vol 5351. Springer, Berlin, Heidelberg (2008).
Helander M. G.: Affective human factors design. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, vol. 46, 12: pp. 978-982 (2002).
Vavra, T. G.: Customer satisfaction measurement simplified: A step-by-step guide for ISO 9001: 2000 certification. ASQ Quality Press (2002)
Norman, D. A.: Emotional design: Why we love (or hate) everyday things. Basic books (2004).
Schütte, S. T. W.: “Integrating kansei engineering methodology in product development, designing feelings into products. LinkÖping studies in science and technology thesis no. 946, LinkÖping University (2002).
Mamaghani, N. K., Dalir, A., & Soleimani, B.: Designing watch by using semiotics approaches. International Conference on Kansei Engineering and Emotion Research (2014).
Osgood, C. E., Suci, G. J., & Tannenbaum, P. H.: The measurement of meaning. Urbana: University of Illionis Press (1957).
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Yuhazri, M.Y., Hidayah, W.N., Sihombing, H., Yahaya, S.H., Sulaiman, S., Kamarul, A.M. (2018). Kansei Engineering Approach for the Customers Preferences of Car Design. In: Lokman, A., Yamanaka, T., Lévy, P., Chen, K., Koyama, S. (eds) Proceedings of the 7th International Conference on Kansei Engineering and Emotion Research 2018. KEER 2018. Advances in Intelligent Systems and Computing, vol 739. Springer, Singapore. https://doi.org/10.1007/978-981-10-8612-0_31
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DOI: https://doi.org/10.1007/978-981-10-8612-0_31
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