Combining AIGC and Virtual Simulation Technology to Enhance Personalization of Jewelry Design

Authors

  • Tingting Ma Faculty of Decorative Arts, Silpakorn University, Bangkok, 10200, Thailand;Fashion Design, Jiangxi Institute of Fashion Technology, Nanchang, Jiangxi, 330201, China
  • Yodkwan Sawadee Faculty of Decorative Arts, Silpakorn University, Bangkok, 10200, Thailand

DOI:

https://doi.org/10.70917/ijcisim-2026-0074

Keywords:

genetic algorithm; user preference; jewelry design; three-dimensional design; KANO model

Abstract

Empowered by emerging technologies such as 5G, big data, cloud computing, artificial intelligence is developing rapidly, and its application has received widespread attention from various industries. Empowering design, such as jewelry design, through AIGC can improve efficiency, expand creativity, and promote the innovative development of the jewelry design profession. The study firstly imports the data into 3DMax software to complete the construction of the jewelry 3D model, and in the process of model construction, Photoshop and Lidar point cloud computing are used to control the model's color matching and height distance. Based on the genetic algorithm, an interactive genetic algorithm based on user preference model is proposed. After adding the group preference information, the preference dominance relationship of the current user changes only slightly, indicating that this algorithm still focuses on user preference, which is conducive to the rapid tracking of user preference when it changes. Through the method of user research, the KANO model is used to grade the attributes of functional requirements, and design innovations are proposed.

Downloads

Download data is not yet available.

Downloads

Published

2026-02-03

How to Cite

Tingting Ma, & Yodkwan Sawadee. (2026). Combining AIGC and Virtual Simulation Technology to Enhance Personalization of Jewelry Design. International Journal of Computer Information Systems and Industrial Management Applications, 18, 17. https://doi.org/10.70917/ijcisim-2026-0074

Issue

Section

Original Articles