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Creativity in Uncovering Customer Expertise for Affective Design

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Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018) (IEA 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 824))

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Abstract

We analyzed customer expertise in purchasing a car that satisfies customer needs for affective design. The approach was based on a hierarchical patterns analysis. There is a hierarchy of requirements starting with simple marketing requirements and ending with final design details. We assume that there is a rationale for customer’s evaluation of cars, and that evaluations are connected to design details. The purpose of using a hierarchical pattern was to model how car buyers evaluate car appearance. In addition, a hierarchical pattern is helpful to establish a dialog between car buyers and designers and create a frame work, where customer requirements can be satisfied. The study examined five main roles of product appearance, namely: Aesthetics, Symbolic Meaning, Functionality, Ergonomics and Categorization. The functional and ergonomics role are described as semantic roles as they address user’s evaluation of the apparent utility and perceived quality of a design. Twenty-six sets of evaluations were obtained from interviews with 13 subjects. To arrive at hierarchical patterns, the data was analyzed in three steps: Step 1 involved classifying responses into three groups: “I like”, “I dislike” and “I want to modify”. Step 2 transformed the results into hierarchical patterns using questions such as “Why do you like this car?” Step 3 analyzed and generalized the hierarchical patterns into a few simple patterns. The analyses yielded seven different hierarchical patterns, which generally fit all the evaluations of cars. The results are discussed in the context of the product appearance roles.

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Correspondence to Martin G. Helander .

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Goh, J.C., Helander, M.G. (2019). Creativity in Uncovering Customer Expertise for Affective Design. In: Bagnara, S., Tartaglia, R., Albolino, S., Alexander, T., Fujita, Y. (eds) Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018). IEA 2018. Advances in Intelligent Systems and Computing, vol 824. Springer, Cham. https://doi.org/10.1007/978-3-319-96071-5_86

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