61 citations · 183 across the 12 of their papers we have counts for
12 papers
From Interaction to Impact: Towards Safer AI Agents Through Understanding and Evaluating Mobile UI Operation Impacts
Zhuohao Jerry Zhang, Eldon Schoop, Jeffrey Nichols +2
With advances in generative AI, there is increasing work towards creating autonomous agents that can manage daily tasks by operating user interfaces (UIs). While prior research has…
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-…
Ferret-UI: Grounded Mobile UI Understanding with Multimodal LLMs
Keen You, Haotian Zhang, Eldon Schoop +5
Recent advancements in multimodal large language models (MLLMs) have been noteworthy, yet, these general-domain MLLMs often fall short in their ability to comprehend and interact e…
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…
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…
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,…
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…
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…
Extracting Replayable Interactions from Videos of Mobile App Usage
Jieshan Chen, Amanda Swearngin, Jason Wu +3
Screen recordings of mobile apps are a popular and readily available way for users to share how they interact with apps, such as in online tutorial videos, user reviews, or as atta…
Sketch-based Creativity Support Tools using Deep Learning
Forrest Huang, Eldon Schoop, David Ha +2
Sketching is a natural and effective visual communication medium commonly used in creative processes. Recent developments in deep-learning models drastically improved machines' abi…
Visual Intelligence through Human Interaction
Ranjay Krishna, Mitchell Gordon, Li Fei-Fei +1
Over the last decade, Computer Vision, the branch of Artificial Intelligence aimed at understanding the visual world, has evolved from simply recognizing objects in images to descr…
Screen Parsing: Towards Reverse Engineering of UI Models from Screenshots
Jason Wu, Xiaoyi Zhang, Jeff Nichols +1
Automated understanding of user interfaces (UIs) from their pixels can improve accessibility, enable task automation, and facilitate interface design without relying on developers…