Product color emotional design adaptive to product shape feature variation

被引:34
作者
Ding, Man [1 ]
Bai, Zhonghang [1 ,2 ]
机构
[1] Hebei Univ Technol, Sch Architecture & Art Design, Tianjin, Peoples R China
[2] Hebei Univ Technol, Natl Engn Res Ctr Technol Innovat Method & Tool, Tianjin, Peoples R China
基金
中国国家自然科学基金;
关键词
image; kansei engineering; product color emotional design; shape feature; CONSUMER-ORIENTED TECHNOLOGY; SYSTEM; SUPPORT; IMAGE; MODEL; FORM;
D O I
10.1002/col.22402
中图分类号
O69 [应用化学];
学科分类号
081704 ;
摘要
When a user selects a product, he/she considers the emotional experience induced by the product color. However, when affected by product shape feature, the color image perception space of a user becomes more complex and dynamic. To address this problem, a product color emotional design method adaptive to product shape feature variation is proposed in this article. Based on psychological means, factor analysis and semantic differential methods are used to elucidate the mechanism for the formation of a color image perception space of a user influenced by product shape feature. Using support vector regression, a product color image evaluation model adaptive to product shape feature variation is constructed, and is then optimized via a genetic algorithm. A corresponding design system is constructed based on the method proposed in this article. A case study involving the design of a thermos for children is presented to demonstrate the operational procedure involved in the proposed method and to verify its performance. The results of the verification experiments confirm that the design scheme from system recommendation essentially meets the anticipated image target and assists the designer effectively. The method and system proposed in this study can generate a product color design scheme, which is unconstrained by shape feature and can satisfy user emotional preferences and needs, and have a certain applicability and practicability.
引用
收藏
页码:811 / 823
页数:13
相关论文
共 43 条
[1]   A new matching strategy: Trial of the principal component coordinates [J].
Agahian, Farnaz ;
Amirshahi, Seyed Hossein .
COLOR RESEARCH AND APPLICATION, 2008, 33 (01) :10-18
[2]  
Akcay Okan., 2011, International Journal of Business and Social Science, V2, P42
[3]   Kansei factor space classified by information for Kansei image modeling [J].
Baek, Sunkyoung ;
Hwang, Myunggwon ;
Chung, Hyunsook ;
Kim, Pankoo .
APPLIED MATHEMATICS AND COMPUTATION, 2008, 205 (02) :874-882
[4]   Kansei assessment of the constituent elements and the overall interrelations in car steering wheel design [J].
Chang, Yu-Ming ;
Chen, Chun-Wei .
INTERNATIONAL JOURNAL OF INDUSTRIAL ERGONOMICS, 2016, 56 :97-105
[5]   Product color emotional design considering color layout [J].
Ding, Man ;
Dong, Wei .
COLOR RESEARCH AND APPLICATION, 2019, 44 (02) :285-295
[6]   Multi-Working Mode Product Color Planning Using Evolutionary Algorithm and Swarm Intelligence [J].
Ding, Man ;
Dong, Wei .
JOURNAL OF COMPUTATIONAL AND THEORETICAL NANOSCIENCE, 2013, 10 (12) :2906-2911
[7]   Computer-aided product colour planning for multi-working modes product using the synthesised evaluation method and difference evolution [J].
Ding, Man ;
Sun, Wei ;
Zhang, Xu .
JOURNAL OF ENGINEERING DESIGN, 2011, 22 (10) :701-719
[8]   Investigation of human's emotional responses on colors [J].
Gao, Xiao-Ping ;
Xin, John H. .
COLOR RESEARCH AND APPLICATION, 2006, 31 (05) :411-417
[9]   Application of Evolutionary Neural Networks on Optimization Design of Mobile Phone Based on User's Emotional Needs [J].
Guo, Fu ;
Qu, Qing-Xing ;
Chen, Peng ;
Ding, Yi ;
Liu, Wei Lin .
HUMAN FACTORS AND ERGONOMICS IN MANUFACTURING & SERVICE INDUSTRIES, 2016, 26 (03) :301-315
[10]   Identifying mobile phone design features critical to user satisfaction [J].
Han, SH ;
Kim, KJ ;
Yun, MH ;
Hong, SW ;
Kim, J .
HUMAN FACTORS AND ERGONOMICS IN MANUFACTURING, 2004, 14 (01) :15-29