- 著者
- Shigekazu ISHIHARA Keiko ISHIHARA Mitsuo NAGAMACHI
- 出版者
- Japan Society of Kansei Engineering
- 雑誌
- KANSEI Engineering International (ISSN:13451928)
- 巻号頁・発行日
- vol.1, no.1, pp.49-58, 1999 (Released:2010-06-28)
- 参考文献数
- 14
- 被引用文献数
- 3 8
This paper presents a methodology for analyzing individual differences on Kansei evaluation for a set of product samples. This analysis divides subjects into several groups by each subject's Kansei evaluation data, according to what kinds of Kansei are related on what kinds of design elements. The basic idea is to classify the results of cluster analysis on individual subject's ratings. A similarity matrix of subjects is computed by comparing dendrogram of each subject. The member subjects of a group have similar response patterns, and the subjects belong to different groups have different response patterns over all Kansei and design elements. ArboART, neural network based hierarchical clustering is used for individual clustering. The methodology is applied to analyzing evaluation data of milk carton design.
- 著者
- Tatsuro MATSUBARA Yukihiro MATSUBARA Shigekazu ISHIHARA Seiji INOKUCHI
- 出版者
- Japan Society of Kansei Engineering
- 雑誌
- 日本感性工学会論文誌 (ISSN:18840833)
- 巻号頁・発行日
- vol.9, no.2, pp.119-128, 2010 (Released:2016-11-30)
- 参考文献数
- 15
- 被引用文献数
- 2
Along with recent developments of industrial finishing of plastics, simulating surfaces is much desired in industries. This research attempts to build a virtual prototyping system for surface finishing. Simulating surfaces will accelerate to Kansei-oriented product development without large cost of making real prototypes. Since the developed system renders bumpy and glossy surfaces in real-time, evaluator can accurately examine surfaces. As an application of the system, leather grain patterns of car dashboard were simulated. At first, surface details of car dashboards were measured with a laser 3D range finder device. Then, Kansei evaluation was done with 30 virtual prototypes those have variations on cars, intensity of roughness and with or without gloss. The evaluation result was analyzed with PCA and 3-factor ANOVA. Expression capacity of the system was validated with ANOVA results, those show significant effects of virtual prototype parameters on Kansei evaluation.