Quantitative Analysis of Mobile Application User Interface Design
Zexun Jiang, Hao Yin, Yan Luo, Jiaying Gong, Yuannan Yang, Manshan Lin · 2019
With the development and proliferation of mobile devices, the industry of mobile applications has grown into a massive market. Well-designed user interfaces are essential for a high-quality and popular mobile application. To understand the basic principles of UI designing, this work employs a data-driven quantitative approach. In this work, we build a dataset of mobile UI and propose a systematic approach for quantitative analysis of UI design using five measurable metrics. Our dataset and analytical methods make it possible to correlate the quantitative metrics with the qualitative features so that the quality of UI designs can be reliably studied and optimized. The evaluation shows that these proposed metrics can be correlated with the qualitative features, and some UI designing suggestions or insights are generated.