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|Authors:||Mamoru Kikuta: Calsonic Kansei Corp., Japan|
|Shigekazu Ishihara: School of Psychological Science, Hiroshima International University, Japan|
|Tetsuo Yanese: School of Psychological Science, Hiroshima International University, Japan|
|Keiko Ishihara: School of Psychological Science, Hiroshima International University, Japan|
|Publication title:||Exploring Texture Pattern Features and Relations to Kansei with 2D FFT: Wallpapers and Dashboard Leather Grain Patterns|
|Conference:||11th QMOD Conference. Quality Management and Organizational Development Attaining Sustainability From Organizational Excellence to SustainAble Excellence, 20–22 August, 2008 in Helsingborg, Sweden|
|Abstract:||Purpose: Ablity of texture pattern recognition of human is very high and precise. Although details of texture significantly affect to Kansei, grasping texture features in quantitative methods have been difficult. We have analyzed wallpaper and car dashboard leather grain patterns with 2-dimensional FFT (Fast Fourier Transfer). Relations between spectrum features and Kansei evaluation are also analyzed.|
Methodology/Approach: On Wallpaper study, sample rooms with various wall paper were made with architectural 3-dimensional CAD software. Twenty- five different wallpaper samples were used. Fifty-four Kansei word pairs were used as 5-point SD questionnaire. Sample pictures were presented with color calibrated display. With PCA, we have analyzed Kansei space. The 1st principal component was named as "Activity". The 2nd pc was "refined-ness". Then we have analyzed texture of 3 samples with 2D FFT, those have almost same color but differs on texture. On car dashboard leather grain patterns, 24 samples of different pattern those have same color were evaluated. Using close-up camera picture, leather grain patterns were analyzed with 2D FFT.
Findings: On wallpaper study, the samples 20,17 and 11 have almost same grayish beige color. On sample 20, 2D FFT result clearly shows the dominant pattern of check and its higher harmonic components. In sample 17, the result suggest the oblique components, In sample 11, there are wide renge surge of oblique components suggests various frequencies of triangular texture. Even within the triangles, as lower frequency components increase, "activity" decreases and tends toward "heavy" Kansei. On leather grain pattern study, variations of grain size, variations of grain shape, line directions and intensity were captured from 2D spectrum. Critical frequency features for Kansei were also found.
Originality/Value of paper: Modern pattern analytic techniques have been not utilized for Kansei engineering. We presented very useful and promising technique for quantificate various detailed features.
|Keywords:||Texture analysis, 2-dimensional FFT, multivariate analysis|
|No. of pages:||10|
|Series:||Linköping Electronic Conference Proceedings|
|Publisher:||Linköping University Electronic Press, Linköpings universitet|
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