Awesome Generative UI

Risorse curate per creare interfacce utente dinamiche AI con LLM, SDK e framework open source

Esplora Generative UI e GenUI: pattern, casi reali e strumenti per progettare, implementare e valutare interfacce AI adattive.

38
Paper
13
Casi
17
Video
47
Risorse
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Risorse più recenti

📄Paper

Automating HCI Principles: Skills for On-Demand UI Construction

Position paper proposing machine-readable skills that guide agents as they generate task-specific interfaces. Its shared Human-AI workspace connects dialogue, task decomposition, and UI state, while inspectable skill files encode usability heuristics, accessibility criteria, cognitive-load guidance, and mixed-initiative interaction principles.

generative-uihci-skillson-demand-ui
di Conklin N. et al. · 2026-10
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📚Risorse

assistant-ui: Component Vocabulary for Generative UI

Official implementation guide for @assistant-ui/react-generative-ui, an open-source runtime that lets models compose JSON interface trees through a present tool. It covers registered React components, Zod prop schemas, opt-in streaming, action handlers, and adapters for Slack, Teams, and A2UI.

generative-uireactcomponent-catalog
di assistant-ui · 2026-10
Apri la risorsa
📚Risorse

Harness4GenUI 2026: Engineering Foundations for Generative UI

Official ASE 2026 workshop dedicated to the software-engineering foundations of Generative UI. Harness4GenUI frames dynamic interfaces as runtime systems and organizes work around stable context models, UI schemas, rendering contracts, testing, observability, safety, and governance rather than generation quality alone.

genuiharness-engineeringsoftware-architecture
di ASE 2026 · 2026-10
Apri la risorsa
📄Paper

AUV-Bench: Aesthetic Understanding and Generation Evaluation for User Interfaces

September 2026 benchmark connecting aesthetic scoring, diagnosis, repair, and text-to-UI generation across 1,395 executable web interfaces. It pairs diagnosis and repair on 660 controlled-degradation cases to test whether models can translate design judgments into effective interface changes.

ui-generationaesthetic-evaluationdiagnosis-and-repair
di Deng Z. et al. · 2026-09
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📄Paper

Elicitive User Interfaces: Designing How Users Shape Generative Interfaces

September 2026 HCI paper proposing that generated interfaces should also generate ways to ask users about unstated preferences. Its six-axis design space and Ditto prototype cover questions, alternatives, editable panels, and other prompts embedded in the interface, with findings from two user studies.

generative-uiuser-preferenceselicitation
di Kim E. et al. · 2026-09
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📄Paper

GUIDE: Designer-in-the-loop Authoring of Conformant Generative User Interfaces

September 2026 HCI paper introducing a Figma-based environment for steering generated interfaces toward a designer's intent. GUIDE turns canvas edits into prompt updates and adapts a design-conformance scorer that ranks candidate screens against project references.

generative-uidesign-conformancedesigner-in-the-loop
di Lee H. et al. · 2026-09
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📄Paper

Harnessing Generative UI for Education: Tailored Learning Interactives

September 2026 Google Research paper on generating customized STEM simulations with Gemini. Its teacher-led pipeline turns learning objectives into scaffolded, multi-level interfaces, then checks rendered HTML and JavaScript for visual, solution, telemetry, and mechanical failures before refining the result.

generative-uieducationinteractive-simulations
di Kovshov A. et al. · 2026-09
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📄Paper

IWC-Bench: Evaluating Web Application Generation from a Software Testing Perspective

2026 benchmark for evaluating runnable LLM-generated web applications through coverage-guided browser exploration. IWC-Bench instruments each app, turns interaction traces into state-transition graphs, and scores visual aesthetics, usability, and requirement alignment across 369 real-world requirements and 5,088 acceptance criteria.

ui-generationinteractive-evaluationcode-coverage
di Liu C. et al. · 2026-09
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📄Paper

Toward Frontier-Quality Declarative UI Generation at Small-Model Cost

September 2026 Harness4GenUI paper studying whether small language models can generate production-oriented A2UI from approved component catalogs. Across task-management and cloud-console domains, the authors compare training-data strategies, model sizes, catalog sizes, cost, latency, binding correctness, and rendered quality.

a2uismall-language-modelssupervised-fine-tuning
di Yang Y. et al. · 2026-09
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