Abstract
Industrial Design is still seen as a "soft" factor without big influence within the most product development decisions, because of the low measurability (Kohler, 2003). Therefore it is necessary to develop a tool which enables Industrial Designers to make design preferences empirically measurable. This paper will provide first insights to relevant theories, perspectives and a comprehensive methodology overview for implicit and explicit measuring methods, which will be implemented in future steps in the emerging crowdsourcing approach to support Industrial Design decisions.
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Wiesner, M., & Vajna, S. (2018). Conception of a crowdsourcing tool to support industrial design decisions. In Proceedings of International Design Conference, DESIGN (Vol. 1, pp. 511–522). Faculty of Mechanical Engineering and Naval Architecture. https://doi.org/10.21278/idc.2018.0355
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