Optimization of User Experience Design Process Driven by AIGC

Sihan Chen

doi:10.54097/wwermb12

Authors

Sihan Chen

DOI:

https://doi.org/10.54097/wwermb12

Keywords:

AIGC, User Experience Design, Intelligent Transformation, Design Research

Abstract

The year 2023 is known as the year of AIGC, and the emergence of CHATGPT has brought about the adjustment of the direction of many industries. In this storm of technology based on artificial intelligence, the design industry should also follow the trend, think and make choices. With the continuous development of AI technology, its high efficiency and low cost make it a powerful tool for designers to improve efficiency in the design field. How generative artificial intelligence system (AIGC) can promote the optimization and intelligent transformation of user experience design is discussed. By analyzing in detail, the application of AIGC in the design process, the author gradually delves into how to use AIGC tools more rationally to improve the efficiency and quality of designers in completing the UX design process. The aim is to provide designers with new ideas in practice to cope with increasingly complex design tasks and user needs, and to provide reference for research and practice in related fields.

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References

National Internet Information Office, National Development and Reform Commission, Ministry of Education, Ministry of Science and Technology, Ministry of Industry and Information Technology, Ministry of Public Security, General Administration of Radio, Film and Television. Interim Measures for the Administration of Generative Artificial Intelligence Services[Z].https:// www.gov.cn/zhengce/ zhengceku/ 202307/content_6891752.htm, 2023,7,10.

Zhan Xini, Li Baiyang, Sun Jianjun. Application Scenarios and Development Opportunities of AlGC in the Digital Intelligence Integration Environment [J]. Documentation, Information & Knowledge,2023,40(01):75-85+55.DOI:10. 13366/j. dik. 2023. 01. 075.

Xu Xuecheng, Kan Tian, Li Wenjun. Next Generation Artificial Intelligence Technology (AlGC): Development Evolution, Industrial Opportunities and Prospects [J]. Review of industrial economics,2023, (04):5-22.DOI:10. 19313/j. cnki. cn10-1223/f.20230705.001.

Lu Zhaolin, Song xinheng, Jin yucheng. State of Arts and Development of Intelligent Design Methods under the AlGC [J]. Packaging Engineering,2023,44(24):18-33+13.DOI: 10. 19554/ j.cnki.1001-3563.2023.24.003.

Yin yukun, Chen hong, Zhao haiying. The Application of Artificial Intelligence in Art Design [J]. Packaging Engineering. 2020, 3,10.19554/j.cnki.1001-3563.2020.06.039.

YuWANG, Zhenzhen WANG, RuiruiMU. Modern Design Thinking and AIGC Intervention[J]. “Design Studies and Intelligence Engineering”.2024,10.3233/FAIA231500.

John Cain, Zach Pino. She Ji: The journal of Design, “Economics and Innovation Navigating” [J]. Design, Data,and Decision in an Age of Uncertainty[J].2023.