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Kansei engineering research on deodorizing airflesheners
( Mitsuo Nagamachi ) 한국감성과학회 2002 춘계학술대회 Vol.2002 No.-
In Japan, deodorizing airflesheners are very popular to make air flesh by deodorizing odor in rooms, toilet as well as inside a car. There are in different features in deodorizing material of Gel and Liquid, in a shape of bottle from tall to low height, in bottle color and so on. These different features will influence the customer``s feeling to the products of deodorizing airfleshener. This paper deals with the psychological evaluation of the features of deodorizing airfleshener on the SD scale with kansei words. The evaluated data were analyzed by Quantification Theory Type I that leads to the relational rules between the product feature and the kansei words. The beautiful and graceful kansei consists of low height, middle width deformed round shape, but easy operational feature is based on tall shape design. These results are helpful to develop a new product of deodorizing airfleshener.
Kansei Comparison of Form -ratio between Cubic Model and Refrigerator
( Tatsuo Nishino ),( Mitsuo Nagamachi ) 한국감성과학회 2000 춘계학술대회 Vol.2000 No.-
Form-ratio means the ratio of Height/Width/Depth in 3-dimensions. The golden ratio or golden section is included as one of the form-ratio. Kansei Engineering System has some basic design databases. Form-ratio and color are basic design elements and they are very important for designing various products in viewpoint of Kansei Engineering. The subjects evaluate the formratios of 3-dimensional cubes and virtual products (refrigerator)with SD-scale kansei words(feelings and images). The golden ratio was evaluated as "not beautiful" in refrigerator. We compared with the kansei of cube model and virtual product, and obtained databases of the relationship between the form-ratio and kansei.
( Shigekazu Ishihara ),( Keiko Ishihara ),( Mitsuo Nagamachi ) 한국감성과학회 2002 춘계학술대회 Vol.2002 No.-
ART (Adaptive Resonance Theory [1]) neural network and its variations perform non-hierarchical clustering by unsupervised learning. We propose a scheme "arboART" for hierarchical clustering by using several ART1.5-SSS networks. It classifies multidimensional vectors as a cluster tree, and finds features of clusters. The Basic idea of arboART is to use the prototype formed in an ART network as an input to other ART network that has looser distance criteria (Ishihara, et al., [2,3]). By sending prototype vectors made by ART to one after another, many small categories are combined into larger and more generalized categories. We can draw a dendrogram using classification records of sample and categories. We have confirmed its ability using standard test data commonly used in pattern recognition community. The clustering result is better than traditional computing methods, on separation of outliers, smaller error (diameter) of clusters and causes no chaining. This methodology is applied to Kansei evaluation experiment data analysis.
지능적 원격조작기술의 일환으로써 효율적 수동모드설정에 관한 연구
이순요,장정삼생,이등굉사,오제상 고려대학교 공학기술연구소 1987 고려대학교 생산기술연구소 생기연논문집 Vol.23 No.1
The present paper deals with obtaining an end point criteria of trajectory planning for the minimum task time and error of manual mode, using the world model aided robotic teleoperator system simulation through a human interface technology, in order to recover effectively the error occurring in the advanced teleoperator tasks. In these experiments, the error occurring in performing the automatic mode is recovered by the manual mode which is combined properly the operation by human with the operation by program. The result shows that the mode 1 of the figure 4 is the efficient end point criteria of trajectory planning to minimize the task time and error of the manual mode.