Consumer-oriented optimal eco-product form design

Chen Fu Chen, Chung Hsing Yeh, Yang-Cheng Lin

研究成果: Conference contribution

2 引文 斯高帕斯(Scopus)

摘要

This paper presents a neural network (NN) approach for determining the design combination of product form elements that match a given eco-product value (EPV) and product image. A morphological analysis is used to extract form elements from these sample office chairs. The experimental study identifies 7 office chair design elements and 27 representative office chairs as experimental samples for developing NN models. A best-performing NN model is chosen to examine the complex relationship between 7 design elements and 6 product images as well as 15 EPV attributes which are identified and categorized into aesthetic, functional, and environmental dimensions. With the NN model, an office chair design database is built consisting of 960 different combinations of design elements, together with their associated EPV and product image values. The application of the database provides product designers with the best combination of product form elements for illustrating the aesthetic, functional, and environmental-friendly attributes as well as particular design concept represented by product image word pairs to an office chair design, thus facilitating the eco-product form deign process.

原文English
主出版物標題3CA 2010 - 2010 International Symposium on Computer, Communication, Control and Automation
頁面602-605
頁數4
DOIs
出版狀態Published - 2010 9月 3
事件2010 International Symposium on Computer, Communication, Control and Automation, 3CA 2010 - Tainan, Taiwan
持續時間: 2010 5月 52010 5月 7

出版系列

名字3CA 2010 - 2010 International Symposium on Computer, Communication, Control and Automation
2

Other

Other2010 International Symposium on Computer, Communication, Control and Automation, 3CA 2010
國家/地區Taiwan
城市Tainan
期間10-05-0510-05-07

All Science Journal Classification (ASJC) codes

  • 電腦網路與通信
  • 硬體和架構
  • 控制與系統工程

指紋

深入研究「Consumer-oriented optimal eco-product form design」主題。共同形成了獨特的指紋。

引用此