Abstract
The efficiency and usability of user interface largely depend on the design and optimization of UI components. This paper proposes an optimization method for UI components based on big data collected from users. First, a user interface components optimization model (UCOM) is proposed which is described from four aspects including user model, task model, interaction model, and component presentation model. Then, based on UCOM, a big data-driven optimization method for user interface component (BOM) is presented. This method defines complete optimizing solution, uses the crowdsourcing to publish solution, gathers and analyzes users’ big data, utilizes AHP to develop a weight formula, and finally provides integrated optimization suggestion.
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Acknowledgement
This work is supported by National Natural Science Foundation of China (Grant No. 61303162, No. 61402435), the Fundamental Research Funds for the Central Universities, and Beijing Municipal Social Science Foundation (Grant No. 16YTC033).
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Lyu, F., Ren, L., Du, Y. (2017). An Optimization Method for User Interface Components Based on Big Data. In: Zhang, L., Ren, L., Kordon, F. (eds) Challenges and Opportunity with Big Data. Monterey Workshop 2016. Lecture Notes in Computer Science(), vol 10228. Springer, Cham. https://doi.org/10.1007/978-3-319-61994-1_4
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DOI: https://doi.org/10.1007/978-3-319-61994-1_4
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