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An Ui Design Optimization Strategy for General App in Big Data Environment

Hangjun Zhou1, Jieyu Zhou1,*, Guang Sun2,3, Wangdong Jiang3, Chuntian Luo1, Xiaoping Fan1, Haowen Zhang1, Haoran Zhang1

School of Information Technology and Management, Hunan University of Finance and Economics, Changsha, 410000, China.
The University of Alabama, Tuscaloosa, Alabama, USA.
Institute of Big Data, Hunan University of Finance and Economics, Changsha, 410000, China.

*Corresponding Author: Jieyu Zhou. Email: .

Journal of Quantum Computing 2019, 1(2), 65-80.


Due to the huge amount of increasing data, the requirements of people for electronic products such as mobile phones, tablets, and notebooks are constantly improving. The development and design of various software applications attach great importance to users’ experiences. The rationalized UI design should allow a user not only enjoy the visual design experience of the new product but also operating it more pleasingly. This process is to enhance the attractiveness and performance of the new product and thus to promote the active usage and consuming conduct of users. In this paper, an UI design optimization strategy for general APP in the big data environment is proposed to get better user experience while effectively obtaining information. An experimental example of a library APP is designed to optimize the user experience. The experimental results show that the user-centered UI design is the core of optimization, and user portrait based on big data platforms is the key to UI design.


Cite This Article

H. Zhou, J. Zhou, G. Sun, W. Jiang, C. Luo et al., "An ui design optimization strategy for general app in big data environment," Journal of Quantum Computing, vol. 1, no.2, pp. 65–80, 2019.

This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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