A method of gathering, selecting and hierarchizing kansei words for a hierarchized kansei model

ABSTRACTDue to maturation of science and technology, companies are required to differentiate their products in terms of subjective qualities such as aesthetics and ergonomics whose evaluation depends on customer feeling i.e. kansei. To consider customer kansei in product developments, various design methods have been developed. In our previous research, we also developed a new aesthetic design support method based on a hierarchical kansei model. In these methods, SD method is widely used to measure customer kansei. SD method scores the impression which a customer receives from products using adjectives and adjective verbs named “Kansei words” as evaluation scales. Since accuracy of SD method is affected by suitability and the number of kansei words, it is important to select kansei words suitable for products and customers. In this research, we developed a new method of gathering, selecting and hierarchizing kansei words for aesthetic design methods based on a hierarchized kansei model, like our previous ...

[1]  Shih-Wen Hsiao,et al.  Applying the semantic transformation method to product form design , 1998 .

[2]  Masakazu Kobayashi,et al.  A Method for Supporting Aesthetic Design Based on the Analysis of the Relationships between Customer Kansei and Aesthetic Element , 2015 .

[3]  Mitsuo Nagamachi,et al.  Concepts, methods and tools in Kansei engineering , 2004 .

[4]  Tetsuo Hattori,et al.  Statistical Investigation on Relation between Feeling Impression and Feature Parameters of Sound Signal , 2014 .

[5]  Yoshihiro Narita,et al.  Kansei Evaluation on the Tiresomeness of Products using Visual Images , 2012 .

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

[7]  Hideyoshi Yanagisawa,et al.  Kansei Design by Interactive Reduct Evolutionary Computation : With Attention Paid to Favored Feature of Design , 2004 .

[8]  Teuvo Kohonen,et al.  Self-organized formation of topologically correct feature maps , 2004, Biological Cybernetics.

[9]  P. Groenen,et al.  Modern Multidimensional Scaling: Theory and Applications , 1999 .

[10]  Hideki Aoyama,et al.  Study on digital style design - Emergence system of polka dots design based on kansei words , 2013 .

[11]  Toshiyuki Yamashita,et al.  Applying Rough Set to Analyze Psychological Effect of Mascot Character Design , 2014 .

[12]  Hideyoshi Yanagisawa.  Kansei Quality in Product Design , 2011 .

[13]  Kuniaki Nakada.  Kansei engineering research on the design of construction machinery , 1997 .

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

[15]  Hideki Aoyama,et al.  Application of Robust Design Approach for Design Parameterization in Kansei Engineering , 2012 .

[16]  Tamotsu Murakami,et al.  Quantification Method of Product Emotional Quality Considering Its Diversity (Application to Quantification of Emotional Quality in Product Sound Design) , 2008 .

[17]  Hideki Aoyama,et al.  Study on digital style design: - Method to generate wood grain pattern representing required impression - Method t , 2014 .

[18]  Shih-Wen Hsiao,et al.  A neural network based approach for product form design , 2002 .

[19]  Koichi Yamada,et al.  Design Support for Generating Novelty with Rough Sets Theory and Conceptual Hierarchy , 2012 .