Open Access

ARTICLE

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

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

1 School of Information Technology and Management, Hunan University of Finance and Economics, Changsha, 410000, China.
2 The University of Alabama, Tuscaloosa, Alabama, USA.
3 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. https://doi.org/10.32604/jqc.2019.07238

Abstract

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.

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Keywords

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