The GenUI Study: Exploring the Design of Generative UI Tools to Support UX Practitioners and Beyond
Not on the map. Why?
Abstract (arXiv)
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 practitioners would adopt such Generative UI (GenUI) models in a way that is integral and beneficial to their work. To answer this question, we conducted a formative study with 37 UX-related professionals that consisted of four roles: UX designers, UX researchers, software engineers, and product managers. Using a state-of-the-art GenUI tool, each participant went through a week-long, individual mini-project exercise with role-specific tasks, keeping a daily journal of their usage and experiences with GenUI, followed by a semi-structured interview. We report findings on participants' workflow using the GenUI tool, how GenUI can support all and each specific roles, and existing gaps between GenUI and users' needs and expectations, which lead to design implications to inform future work on GenUI development.
Key facts. Cited by 9 papers in the map (data through 14 Oct 2026). First posted on arXiv 22 Jan 2025.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2025: 1; 2026: 8.
9 papers.
- 2025LLMs' Reshaping of People, Processes, Products, and Society in Software Development: A Comprehensive Exploration with Early Adopterscited by 8
- 2026AlignUI: A Method for Designing LLM-Generated UIs Aligned with User Preferencescited by 2
- 2026StreetDesignAI: Broadening Designer Perspectives Through Multi-Persona Evaluation of Cycling Infrastructurecited by 1
- 2026Bridging Gulfs in UI Generation through Semantic Guidancecited by 1
- 2026AgentLens: Adaptive Visual Modalities for Human-Agent Interaction in Mobile GUI Agentscited by 1
- 2026The Headless Firm: How AI Reshapes Enterprise Boundariescited by 0
- 2026Design Theater: Evaluating the Gap Between User-Facing Design Reasoning and Implementation in Generative UI Toolscited by 0
- 2026Personalizing Personal Health Interfaces: Co-Design with Generative AIcited by 0
- 2026Does AI Save Time on Product Design? A Randomized Controlled Experiment of AI Prompt-to-Design Workflowscited by 0
- 2026Does AI Save Time on Product Design? A Randomized Controlled Experiment of AI Prompt-to-Design Workflows22 Sep 2026
- 2026Personalizing Personal Health Interfaces: Co-Design with Generative AI14 Sep 2026
- 2026Design Theater: Evaluating the Gap Between User-Facing Design Reasoning and Implementation in Generative UI Tools24 Jul 2026
- 2026AgentLens: Adaptive Visual Modalities for Human-Agent Interaction in Mobile GUI Agents22 Apr 2026
- 2026The Headless Firm: How AI Reshapes Enterprise Boundaries24 Feb 2026
- 2026Bridging Gulfs in UI Generation through Semantic Guidance27 Jan 2026
- 2026AlignUI: A Method for Designing LLM-Generated UIs Aligned with User Preferences24 Jan 2026
- 2026StreetDesignAI: Broadening Designer Perspectives Through Multi-Persona Evaluation of Cycling Infrastructure22 Jan 2026
- 2025LLMs' Reshaping of People, Processes, Products, and Society in Software Development: A Comprehensive Exploration with Early Adopters6 Mar 2025