77 citations · 98 across the 5 of their papers we have counts for
5 papers
Rethinking the UI of GenUI: A Tale of Two Designs
Xiang 'Anthony' Chen, Savvas Dimitrios Petridis, Tian Deng +3
GenUI is an emergent class of AI tools that use large models to generate UI mock-ups based on users' high-level descriptions, promising to democratize UX design exploration for a b…
The GenUI Study: Exploring the Design of Generative UI Tools to Support UX Practitioners and Beyond
Xiang 'Anthony' Chen, Tiffany Knearem, Yang Li
AI can now generate high-fidelity UI mock-up screens from a high-level textual description, promising to support UX practitioners' work. However, it remains unclear how UX practiti…
Visual Prompting with Iterative Refinement for Design Critique Generation
Peitong Duan, Chin-Yi Cheng, Bjoern Hartmann +1
Feedback is crucial for every design process, such as user interface (UI) design, and automating design critiques can significantly improve the efficiency of the design workflow. A…
UICrit: Enhancing Automated Design Evaluation with a UICritique Dataset
Peitong Duan, Chin-yi Chen, Gang Li +2
Automated UI evaluation can be beneficial for the design process; for example, to compare different UI designs, or conduct automated heuristic evaluation. LLM-based UI evaluation,…
Generating Automatic Feedback on UI Mockups with Large Language Models
Peitong Duan, Jeremy Warner, Yang Li +1
Feedback on user interface (UI) mockups is crucial in design. However, human feedback is not always readily available. We explore the potential of using large language models for a…