Statistics supporting the design process via Kansei Engineering

Statistics supporting the design process via Kansei Engineering

S Coleman, K Pearce and C van Lottum

University of Newcastle upon Tyne,
Newcastle upon Tyne, UK

Manufacturers have tried many routes to understanding consumer preferences so that they can incorporate them into their designs. In the competitive market place, it is increasingly important to look beyond the obvious and to seek more subtle indications of what product designs will be popular. When asked to describe their requirements from a product, consumers will frequently include a mixture of functional features and descriptions relating to how the design appeals to them on a more subjective emotional level (for example, must look fresh, be comforting, sound fast, must feel dependable). A methodology which is new in Europe but well established in the Far East is being investigated in a European 5th Framework project called Kensys. Kansei Engineering is a technique aimed at translating subjective requirements into product design features and thereby incorporating consumer emotion into the product design process. The Kansei method involves extensive examination of the market, discussions with designers, customer surveys and data analysis. Techniques such as factor analysis and statistical modelling are used to extract underlying traits and make predictions. Issues of selection of a representative product sample, sample size when sampling the customer base and decisions on categorising some independent variables need to be considered.
This paper outlines the methodology and illustrates it using the results of a Kansei Engineering project looking at the design of men’s everyday footwear.

LiuH's picture
Submitted by LiuH on Mon, 11/07/2005 - 5:49pm.

hi,

thanks for your contribution to iproms, however, i cannot read the full content of your paper, can you please check the hyper link for "download" which is below the presentation slides and introduction. it seems users can only downoad the .ppt file for a few slides instead of .pdf file of full article. thanks. 


yiw's picture
Submitted by yiw on Tue, 12/07/2005 - 7:49am.

other than the question mentioned above, how do you identify and estimate the error?


LiuH's picture
Submitted by LiuH on Tue, 12/07/2005 - 10:29am.

thanks for your question, i'm very insterested in this topic, however, the slides present nothing but general information, that's why i am keen to see the full article for more details.  


yiw's picture
Submitted by yiw on Thu, 14/07/2005 - 8:58am.

You are very welcome regarding my question. I am interested in the paper as well. And is it possible to provide the statistical proof?


bmpiglet's picture
Submitted by bmpiglet on Wed, 11/01/2006 - 11:23pm.

I would like to download the pdf file of your participation. How can this be possible? Thank You.


trouble's picture
Submitted by trouble on Thu, 05/04/2007 - 11:34am.

Hi would anyone have any more information about the kansei principles?

Any help would be much appreciated.


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