Abstract
The use of pan-ethnic-group products form knowledge primarily depends on a designer’s subjective experience without user participation. The majority of studies primarily focus on the detection of the perceptual demands of consumers from the target product category. A pan-ethnic-group products form gene clustering method based on emotional semantic is constructed. Consumers’ perceptual images of the pan-ethnic-group products are obtained by means of product form gene extraction and coding and computer aided product form clustering technology. A case of form gene clustering about the typical pan-ethnic-group products is investigated which indicates that the method is feasible. This paper opens up a new direction for the future development of product form design which improves the agility of product design process in the era of Industry 4.0.
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Supported by National Key Technology R&D Program, China(Grant No. 2015BAH21F01), and National 111 Project, China(Grant No. B13044)
CHEN Dengkai, born in 1973, is currently an associate professor at Northwestern Polytechnical University, China. His research interests include industrial design, designing philosophy, ergonomics and innovative design.
DING Jingjing, born in 1990, is currently a master candidate at Northwestern Polytechnical University, China. Her research interests include computer aided industrial design and ergonomics.
GAO Minzhuo, born in 1987, is currently a master candidate at Northwestern Polytechnical University, China. Her research interests include data visualization information graph design.
MA Danping, born in 1991, is currently a master candidate at Northwestern Polytechnical University, China. Her research interests include computer aided industrial design and ergonomics.
LIU Donghui, born in 1990, is currently a master candidate at Northwestern Polytechnical University, China. Her research interests include computer aided industrial design and ergonomics.
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Chen, D., Ding, J., Gao, M. et al. Form gene clustering method about pan-ethnic-group products based on emotional semantic. Chin. J. Mech. Eng. 29, 1134–1144 (2016). https://doi.org/10.3901/CJME.2016.0719.083
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DOI: https://doi.org/10.3901/CJME.2016.0719.083