A study on the application of an artificial neural algorithm in the color matching of Taiwanese cultural and creative commodities

Shih Wen Hsiao, Ming Feng Wang, Dai Jung Lee, Chien Wei Chen

Research output: Contribution to journalArticlepeer-review

18 Citations (Scopus)

Abstract

In the recent years, great importance has been shown toward the cultural creativity in Taiwan. Cultural identification and determining how best to apply it to commercial products require investigating and compiling a vast amount of cultural information, along with the individual ideas of designers, to develop new cultural products. During the product development and design process, the color scheme is the final and most important element. It not only represents the first image of the product but also elicits the important first-sight impression of consumers. Consequently, color ranks first in cultural commodity development. By understanding the Taiwanese culture, as well as assessing, verifying, and internalizing it into the materials that can be used by the designers, this study uses an artificial neural network system and simplifies the collected pictures that are representative of the Taiwanese culture into groups of different matching colors to assist designers in developing cultural commodities with different features and according to different cultural styles.

Original languageEnglish
Pages (from-to)341-351
Number of pages11
JournalColor Research and Application
Volume40
Issue number4
DOIs
Publication statusPublished - 2015 Aug 1

All Science Journal Classification (ASJC) codes

  • Human Factors and Ergonomics
  • General Chemistry
  • General Chemical Engineering

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