2 citations · 3 across the 4 of their papers we have counts for
3 papers · 1 filter
Improving User Interface Generation Models from Designer Feedback
Jason Wu, Amanda Swearngin, Arun Krishna Vajjala +3
Despite being trained on vast amounts of data, most LLMs are unable to reliably generate well-designed UIs. Designer feedback is essential to improving performance on UI generation…
UIClip: A Data-driven Model for Assessing User Interface Design
Jason Wu, Yi-Hao Peng, Amanda Li +3
User interface (UI) design is a difficult yet important task for ensuring the usability, accessibility, and aesthetic qualities of applications. In our paper, we develop a machine-…
Towards Automated Accessibility Report Generation for Mobile Apps
Amanda Swearngin, Jason Wu, Xiaoyi Zhang +8
Many apps have basic accessibility issues, like missing labels or low contrast. Automated tools can help app developers catch basic issues, but can be laborious or require writing…