Design Rule Extraction from a Trained Ann Model using Ga for Product form Design of Mobile Phones

2012 ◽  
Vol 18 (4) ◽  
pp. 369-379 ◽  
Author(s):  
K.Y. Fung ◽  
C.Y. Tang ◽  
Eric W.M. Lee ◽  
G.T.S. Ho ◽  
Michael K.W. Siu ◽  
...  
Keyword(s):  
Mobile Phones ◽  
Rule Extraction ◽  
Product Form ◽  
Design Rule ◽  
Ann Model ◽  
Form Design ◽  
Product Form Design

The Form Beauty of Product Form Design – The Unity and Variety

2012 ◽  
Vol 591-593 ◽  
pp. 112-114
Author(s):  
Yan Wen ◽  
Hu Sun
Keyword(s):  
Product Design ◽  
Mobile Phones ◽  
Theoretical Basis ◽  
Basic Element ◽  
Product Form ◽  
Perfect Performance ◽  
Basic Law ◽  
Form Design ◽  
Product Form Design ◽  
Visual Impact

The basic element of product form design are colors, materials and forms, the foundation of the form beauty lies in different arrangement which gives you visual impact. You must feel not only the innovation at the glance of the classic product design of Apple such as mobile phones, computers but also its unity and instantaneously. This is the perfect performance of the law Unity and Variety. This paper is presented that the unity and variety of product form design is applied in the elements of design such as colors, materials and forms which take Apple design as an example based on the basic law of form beauty principle. And it provides a theoretical basis and references for enterprise to develop a series of product and pave the way for further research.

Study on the Application of Kansei Engineering in Product Form Design

2013 ◽  
Vol 274 ◽  
pp. 513-516 ◽  
Author(s):  
Yu Qing Xu ◽  
Kun Chen ◽  
Hai Bin Qin ◽  
Zhao Yang Wang
Keyword(s):  
Product Form ◽  
Kansei Engineering ◽  
Consumer Group ◽  
Main Technique ◽  
Form Design ◽  
Main Factors ◽  
Product Form Design

Design mode of product form is constructed combining Kansei Engineering (KE) with Ergonomics. KE is used as main technique to transform consumers' feelings and images of shape, size, material, operability of product into design form futures. The main factors and problems of Kansei experiment and Kansei analysis are also identified.Ergonomics acts as the assisting technique for meeting physiological criteria of consumer group. An implement of a product form design was conducted, and then the feasibility of proposed design mode based on KE is discussed which provides related products’ reference to designers.

A neural network based approach for product form design

2002 ◽  
Vol 23 (1) ◽  
pp. 67-84 ◽  
Author(s):  
Shih-Wen Hsiao ◽  
H.C Huang
Keyword(s):  
Neural Network ◽  
Product Form ◽  
Form Design ◽  
Product Form Design

Modeling Product Form Preference Using Gestalt Principles, Semantic Space, and Kansei

2012 ◽  
Author(s):  
José E. Lugo ◽  
Stephen M. Batill ◽  
Laura Carlson
Keyword(s):  
Semantic Space ◽  
Product Form ◽  
Sources Of Information ◽  
Gestalt Principles ◽  
Design Concepts ◽  
Design Variables ◽  
Form Design ◽  
Product Form Design ◽  
Different Sources ◽  
Product Preference

Engineers describe design concepts using design variables. Users develop their visual judgment of products by mentally grouping design variables according to Gestalt principles, extracting meaning using semantic dimensions and attaching attributes to the products, as reflected in Kansei methodology. The goal of this study was to assess how these different sources of information and representations of product form (design variables, Gestalt variables, Kansei attributes, and semantic dimensions) could combine to best predict product preference for both designers and users. Sixteen wheel rim designs were created using four design variables that were also combined into higher-order Gestalt variables. Sixty-four participants viewed each rim, and rated it according to semantic dimensions and Kansei attributes, and provided an overall “like” rating. The most reliable prediction of product preference were developed using Gestalt variables in combination with the meaning and emotion the users attached to the product. Finally, implications for designers are discussed.

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