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20212024
most citedScreen Parsing: Towards Reverse Engineering of UI Models from Screenshots

61 citations · 183 across the 12 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.HC2023

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…

cs.HC2023★ 3 cited

ILuvUI: Instruction-tuned LangUage-Vision modeling of UIs from Machine Conversations

Yue Jiang, Eldon Schoop, Amanda Swearngin +1

Multimodal Vision-Language Models (VLMs) enable powerful applications from their fused understanding of images and language, but many perform poorly on UI tasks due to the lack of…

cs.HC2023★ 50 cited

AXNav: Replaying Accessibility Tests from Natural Language

Maryam Taeb, Amanda Swearngin, Eldon Schoop +3

Developers and quality assurance testers often rely on manual testing to test accessibility features throughout the product lifecycle. Unfortunately, manual testing can be tedious,…

cs.HC2023

Never-ending Learning of User Interfaces

Jason Wu, Rebecca Krosnick, Eldon Schoop +3

Machine learning models have been trained to predict semantic information about user interfaces (UIs) to make apps more accessible, easier to test, and to automate. Currently, most…

cs.HC2023

WebUI: A Dataset for Enhancing Visual UI Understanding with Web Semantics

Jason Wu, Siyan Wang, Siman Shen +3

Modeling user interfaces (UIs) from visual information allows systems to make inferences about the functionality and semantics needed to support use cases in accessibility, app aut…