Form gene clustering method about pan-ethnic-group products based on emotional semantic

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.

[1]  Alex H. B. Duffy,et al.  Computer-based creativity enhanced conceptual design model for non-routine design of mechanical systems , 2014 .

[2]  Liu Yonghong Research on curve fitting technology for saxophone bell profile , 2008 .

[3]  Sun Ji,et al.  Clustering Algorithms Research , 2008 .

[4]  Pan Yunhe Mental Construction of User Perception Image in Product Design , 2010 .

[5]  Meiyu Zhou Application of Cluster Model in Kansei Design , 2008 .

[6]  Meng-Dar Shieh,et al.  Eliciting design knowledge from affective responses using rough sets and Kansei engineering system , 2015, Journal of Ambient Intelligence and Humanized Computing.

[7]  Weifeng Hu Automobile Styling Gene Evolution Driven by Users' Expectation Image , 2011 .

[8]  Tim Brown,et al.  Change by Design: How Design Thinking Transforms Organizations and Inspires Innovation , 2009 .

[9]  Rosemary R. Seva,et al.  The influence of cellular phone attributes on users' affective experiences: a cultural comparison. , 2009 .

[10]  lt,et al.  Review of key technologies of product image styling design , 2013 .

[11]  Shih-Wen Hsiao,et al.  A morphing method for shape generation and image prediction in product design , 2002 .

[12]  Marzia Mortati A Framework for Design Innovation: Present and Future Discussions , 2015, Design Issues.

[13]  Mitsuo Nagamachi,et al.  Kansei Engineering: A new ergonomic consumer-oriented technology for product development , 1995 .

[14]  Wang Ze,et al.  Design method of walking aid based on gait parameter , 2013 .

[15]  Roger Jianxin Jiao,et al.  A Kansei mining system for affective design , 2006, Expert Syst. Appl..

[16]  Shiming Ji Structured Surface Softness Abrasive Flow Precision Finish Machining and Its Abrasive Flow Dynamic Numerical Analysis , 2010 .

[17]  Li Pheng Khoo,et al.  Products classification in emotional design using a basic-emotion based semantic differential method , 2012 .

[18]  Pekka Korvenmaa,et al.  A preliminary study of perceptual matching for the evaluation of beverage bottle design , 2012 .

[19]  Mitsuo Nagamachi,et al.  Kansei engineering as a powerful consumer-oriented technology for product development. , 2002, Applied ergonomics.

[20]  Bernard Yannou,et al.  Measuring consumer perceptions for a better comprehension, specification and assessment of product semantics , 2004 .

[21]  Álvaro Page,et al.  Kano’s model in Kansei Engineering to evaluate subjective real estate consumer preferences , 2011 .

[22]  Pingyu Jiang,et al.  Product platform design for a product family based on Kansei engineering , 2009 .

[23]  Zhao Jiang-hong Automobile Styling Gene Evolution Driven by Users' Expectation Image , 2011 .

[24]  C. Osgood,et al.  The Measurement of Meaning , 1958 .

[25]  Chung-Hsing Yeh,et al.  User-oriented design for the optimal combination on product design , 2006 .

[26]  Sung H. Han,et al.  A fuzzy rule-based approach to modeling affective user satisfaction towards office chair design , 2004 .

[27]  Jaehyoun Kim,et al.  The Internet Information and Technology Research Directions based on the Fourth Industrial Revolution , 2016, KSII Trans. Internet Inf. Syst..

[28]  Hao Chen,et al.  Ethnic Group Evolution Algorithm: Ethnic Group Evolution Algorithm , 2010 .

[29]  Hsin-Hsi Lai,et al.  A robust design approach for enhancing the feeling quality of a product: a car profile case study , 2005 .

[30]  Shijian Luo,et al.  Consumer Preference-driven SUV Product Family Profile Gene Design , 2016 .

[31]  Li Pheng Khoo,et al.  A rough set based decision support approach to improving consumer affective satisfaction in product design , 2009 .

[32]  Shijian Luo,et al.  Review of theory, key technologies and its application of perceptual image in product design , 2007 .

[33]  Ji-Gui Sun,et al.  Clustering Algorithms Research , 2008 .