Design Theory and Methodology for Multimodal Data Fusion Based on CSET

Authors

  • Ran Wan Architecture & Design College, Nanchang University
  • Jialin Li Architecture & Design College, Nanchang University
  • Zhixin Yang Architecture & Design College, Nanchang University
  • Ziqi Yue Architecture & Design College, Nanchang University
  • Shuangqi Li Architecture & Design College, Nanchang University
  • Lang Qin Architecture & Design College, Nanchang University

Keywords:

CSET; Multimodal Data Fusion; Design Innovation; User Experience; Data-Driven Design

Abstract

Amid the sweeping tide of digitalization, the field of design is encountering unprecedented opportunities and challenges. Vast data resources are rich with valuable user experience (UX) and design information. However, traditional design methodologies fall short in effectively integrating and utilizing such diverse data. This study introduces an innovative design theory and methodology for multimodal data fusion based on the Culture, Society, Economy, and Technology (CSET) framework. By constructing a UX-integrated design information representation model, employing a dual data-driven approach, and incorporating experimental design and analysis, this research achieves effective fusion of user experience data with design documentation. The goal is to enhance design innovation capabilities and provide robust support for comprehensive product performance across multiple dimensions. The proposed methodology holds significant theoretical and practical implications.

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Published

2024-10-01

How to Cite

Wan, R., Li, J., Yang, Z., Yue, Z., Li, S., & Qin, L. (2024). Design Theory and Methodology for Multimodal Data Fusion Based on CSET. BIG.D, 1(1), 43–51. Retrieved from https://big-design.org/article/view/v1n1_2024_paper05

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Section

Original Research Articles

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