Hybrid Kansei Engineering System and design support

被引:100
|
作者
Matsubara, Y
Nagamachi, M
机构
[1] Faculty of Engineering, Hiroshima University, Higashi-Hiroshima 739, 1-4-1, Kagamiyama
关键词
Kansei Engineering; design support; AI; expert system; design recognition; house's front door;
D O I
10.1016/S0169-8141(96)00005-4
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In this paper, we propose the new framework of Kansei Engineering System (KES), called Hybrid KES, which can support both consumer and designer as the decision support system (DSS). Kansei Engineering is defined as ''translating technology of a consumer's feeling and image for a product into design elements'' (Nagamachi, 1989). It is the Kansei Engineering System which we developed to utilize on the product development process using Kansei Engineering techniques. There are two types of KES, one for the consumer decision supporting system called the Forward Kansei Engineering System, and another for the designer supporting system called the Backward Kansei Engineering System. The combined computerized system of the Forward KES and Backward KES must be powerful supporting tools for both users. This paper introduces the structure of the combined system, and proposes the Hybrid KES as the new general framework of Kansei Engineering System. Relevance to industry Hybrid KES consists of Forward KES and Backward KES. The former is the KES in which a designer obtains the demanded design through an input of the Kansei word. In the Backward KES, the designer is able to draw a rough sketch in the computer and the computer system recognizes the pattern of the design inputted by the designer. The combined computerized system of the Forward KES and Backward KES must be powerful supporting tools for both consumer and designer.
引用
收藏
页码:81 / 92
页数:12
相关论文
共 50 条
  • [41] Research on Design System of Offshore Platform Accommodation Cabin Based on Kansei Engineering
    Shi, Lin
    Chen, Haoqiang
    Wang, Zhichuang
    JOURNAL OF SHIP PRODUCTION AND DESIGN, 2023, 39 (02): : 89 - 98
  • [42] Research of Lamp Design Based on Kansei Engineering
    Liu Weiyuan
    PROCEEDINGS OF THE 2008 INTERNATIONAL CONFERENCE ON INDUSTRIAL DESIGN, VOL 2/2, 2008, : 44 - 49
  • [43] The Research on the Application of Kansei Engineering in the Product Design
    Liang, Ruoyu
    Chen, Dongxiang
    Wang, Taiyong
    Zhang, Xue
    Wu, Kaifa
    Lin, Fuxun
    Xu, Xiaofeng
    Li, Yichao
    MATERIAL DESIGN, PROCESSING AND APPLICATIONS, PARTS 1-4, 2013, 690-693 : 3453 - +
  • [44] Costume innovative design based on Kansei Engineering
    Huang Jun-min
    Li Xiang
    Wu Hong-fang
    Sun Yu-fang
    MATERIAL SCIENCE, CIVIL ENGINEERING AND ARCHITECTURE SCIENCE, MECHANICAL ENGINEERING AND MANUFACTURING TECHNOLOGY II, 2014, 651-653 : 2024 - 2027
  • [45] Optimization Design of a Webpage Based on Kansei Engineering
    Guo, Fu
    Liu, Wei Lin
    Cao, Yaqin
    Liu, Fan Tao
    Li, Mei Lin
    HUMAN FACTORS AND ERGONOMICS IN MANUFACTURING & SERVICE INDUSTRIES, 2016, 26 (01) : 110 - 126
  • [46] A study of collaborative design supported by kansei engineering
    Imai M.
    Shimohara K.
    Imai Y.
    Hattori T.
    IEEJ Transactions on Electronics, Information and Systems, 2020, 140 (08) : 964 - 970
  • [47] Utilizing text mining and Kansei Engineering to support data-driven design automation at conceptual design stage
    Chiu, Ming-Chuan
    Lin, Kong-Zhao
    ADVANCED ENGINEERING INFORMATICS, 2018, 38 : 826 - 839
  • [48] Application of Robust Design Approach for Design Parameterization in Kansei Engineering
    Sutono, Sugoro Bhakti
    Taha, Zahari
    Rashid, Salwa Hanim Abdul
    Aoyama, Hideki
    Subagyo
    ADVANCED MECHANICAL DESIGN, PTS 1-3, 2012, 479-481 : 1670 - +
  • [49] A KANSEI ENGINEERING APPROACH TO A DRIVER VEHICLE SYSTEM
    HORIGUCHI, A
    SUETOMI, T
    INTERNATIONAL JOURNAL OF INDUSTRIAL ERGONOMICS, 1995, 15 (01) : 25 - 37
  • [50] Research on Optimized Product Image Design Integrated Decision System Based on Kansei Engineering
    Xue, Lei
    Yi, Xiao
    Zhang, Ye
    APPLIED SCIENCES-BASEL, 2020, 10 (04):