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1

From Kansei Engineering to Kansei Ergonomics

100%
Nagamachi M.
Ergonomia
|
2007
|
tom 29
|
nr 2
Kansei Engineering, which Nagamachi founded at Hiroshima University 30 years ago is defined as a consumer-oriented technology for developing new products. When a consumer wants to buy some-thing, he/she will have a kind of feeling in his/her mind. If this feeling (kansei in Japanese) could be implemented in the new product, the customer would be satisfied with it. Kansei engineering aims at the translation of kansei into the field of product design, including the mechanical functioning of the product. This explains the consumer-oriented aspect. So far, there are many products in Japan which are the result of applied kansei engineering. Recently, utilization of Kansei Engineering with Ergonomics has been successful in the development of new products.
2

Analysis of parents' purchase patterns for their children's shoes

51%
Ishihara K., Nagamachi M., Ishihara S., Okazaki Y.
Ergonomia
|
2007
|
tom 29
|
nr 2
A questionnaire for parents was used to examine the characteristics of their purchase attitude toward children’s shoes. They were asked the reasons for their purchase, and could choose any number of options. Responses obtained from 58 respondents were encoded into 58 binary vectors in 16 dimensions, encoding the choice of an option as a “1” and a non-choice as “0.” A cluster analysis of these vectors using the method of Baroni-Urbani and Buser as the criterion for similarity was used to classify the tendencies of the respondents in terms of choice patterns. The characteristics of the choice patterns classified in each cluster were considered from the perspective of the number of choice reasons included in the classified vector and the place of purchase, method of decision, and daily policy, which were answered in other questions.
3

The graphical analysis method for non-linear relation between Kansei evaluation and design elements

51%
Ishihara S., Ishihara K., Nagamachi M.
Ergonomia
|
2007
|
tom 29
|
nr 2
The aim of this study is to develop a method of creating a graphical analysis that shows the relations between Kansei evaluation and design elements. In the first stage, all samples are mapped on a two-dimensional plane according to the results of analysis on design elements. The coordinates of each sample in the map are solved by the Quantification Theory Type 3 model using the computation method of correspondence analysis. In the next stage, a three-dimensional contour map is created for the specific Kansei word the researcher or product designer wishes to focus on. The Kansei evaluation value for each sample is added as the height of the sample in the map. Then the contour which interpolates between the Kansei values of the samples is computed using local regression smoothing. The proposed methodology creates a 3-D contour map that helps researchers to recognize both the linear and complicated nonlinear relations between Kansei and design elements.
4

Kansei ergonomics analysis of an ecological river landscape design using the Rough Set Model

51%
Ichitsubo M., Nishino T., Nagamachi M.
Ergonomia
|
2007
|
tom 29
|
nr 2
River construction has the roles of control of smooth water flow, facilitation of a good environment for living things (animals and plants), and also the provision of healing and comfort effectiveness for people. We can apply Kansei Engineering to designing river landscapes to construct a natural environment for a river with the above-mentioned roles. It utilizes multivariate analysis to be applied to human evaluation to find design elements, but in this paper, we apply Nishino’s rough set model to the human evaluation data. The concern of this paper is to apply Kansei engineering to river landsca¬pe design, and to compare the data analyzed by multivariate analysis and by the rough set model. We obtained two factors through Factor Analysis: the first factor consisting of “beautiful”, “healing”, “good landscape” etc., and the second factor consisting of “natural”, “harmony with nature”, “good environment for living things” etc. We selected two Kansei words from the two factors obtained, “beautiful” and “good environment for living things”, and analysed these Kansei words using Quantification Theory 1 and the rough set model. We obtained very similar results for the design elements, but we learned from the lower approximation that combinations of design elements are more effective for designing.
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