Data-driven UX improvement of DuoYi
Muzi Yang, Zihan Yan, Yiyang Li, Shaokang Li
As a lightweight interpretation software with various translation APIs, DuoYi precisely identififies gaps in the translation market. However, its interactive experience is worth exploring. In this work, we distinguished pain points in user experience and interaction design based on data analysis. Finally, we re-designed data-driven prototyping and conducted a user study to verify its effffectiveness, availability and clarity.