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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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