Development of furniture design teaching system based on virtual reality technology

Mengran Zhang

doi:10.1117/12.2673009

14 April 2023 Development of furniture design teaching system based on virtual reality technology

Mengran Zhang

Proceedings Volume 12612, International Conference on Artificial Intelligence and Industrial Design (AIID 2022); 1261206 (2023) https://doi.org/10.1117/12.2673009
Event: International Conference on Artificial Intelligence and Industrial Design (AIID 2022), 2022, Zhuhai, China

Abstract

China's industrial design teaching about ergonomics course is generally unable to let the students feel various products and human body size data relations intuitively. The users in this study are mainly teachers and students majoring in industrial design, which can be used as auxiliary teaching courseware for teachers. Meanwhile, this study hopes to improve the understanding and application ability of students majoring in industrial design on ergonomics through the design of innovative ergonomics teaching methods. Based on analysis of the ergonomics textbooks of Chinese college students, this study finally selected furniture design as the target content of the design and focused the design and interactive content of the virtual scene on the design of the home scene. First, the virtual reality technology application required the computer software Unity3D to build and render the home scene model in the scene. Then, representative furniture was selected through the analysis of the size and design points, and the knowledge point was added to the scene through an illustrative interface. Finally, a desktop application that could enable users to explore and learn from the virtual scene by wearing VR glass was generated, to enhance the interactive teaching and improve students' learning initiative.

Citation Download Citation

Mengran Zhang "Development of furniture design teaching system based on virtual reality technology", Proc. SPIE 12612, International Conference on Artificial Intelligence and Industrial Design (AIID 2022), 1261206 (14 April 2023); https://doi.org/10.1117/12.2673009

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