Abstract
Kansei Engineering (KE) enable designers in making decisions and focus on the design elements which make the product better fit to human feelings by discovering relationships between the customers’ feelings and the product features. However, using paper based checklist in evaluating the experiments lead to different results in different cultural races and demographical background and also limits the potential in obtaining desired results. This research attempts to fill in the gap by providing Web-based Kansei Measurement System and test it across culture to see whether it produce similar results. A comparative study of Kansei by two cultural background subjects and two measurement mechanisms, which are web-based and paper based Kansei checklist have been conducted. The resulted Kansei structure shows encouraging evidence that Web-based Kansei Measurement System could be used as cross-cultural Kansei measurement mechanism. The findings could benefit researchers and designers in the effort to improve the process of Kansei measurement to get the desired results.
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Lokman, A.M., Zolkefley, M.K.I. (2015). Cross-cultural Kansei Measurement. In: Berry, M., Mohamed, A., Yap, B. (eds) Soft Computing in Data Science. SCDS 2015. Communications in Computer and Information Science, vol 545. Springer, Singapore. https://doi.org/10.1007/978-981-287-936-3_23
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DOI: https://doi.org/10.1007/978-981-287-936-3_23
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