AI 中文总结
LegoUI是一种分阶段生成式UI设计框架，通过UI-DSL暴露模型中间推理，在40个设计提示的评估中需求分析准确率超95%，用户使用时感知的透明度、可控性及意图一致性显著优于现有工具。
AI 中文摘要
生成式用户界面设计工具支持快速原型制作，但常作为黑箱运行，透明度与可控性有限。当输出偏离设计者意图时，用户只能通过反复试错调整提示，对模型推理过程几乎没有认知。我们提出LegoUI，一种分阶段生成式框架，将界面设计过程沿关键设计维度拆分为连续、可解释的步骤，每一步的结果都用带有溯源信息的用户界面领域特定语言（UI-DSL）记录。该方法可暴露模型的中间推理过程，支持用户干预与迭代优化。在对40个真实设计提示的技术评估中，LegoUI的需求分析阶段捕获明确需求的准确率超过95%，覆盖度接近100%且无冗余。在用户研究中，与现有一次性生成式UI工具相比，使用LegoUI的参与者报告其透明度、可控性及与自身意图的一致性显著更高。
英文摘要
Generative user interface design tools enable rapid prototyping but often operate as black boxes with limited transparency and controllability. When outputs diverge from the designer's intent, users are left tweaking prompts via trial-and-error with little insight into the model's reasoning. We present LegoUI, a staged generative framework that structures the interface design process into sequential, interpretable steps along key design dimensions, capturing each step's result in a UI domain-specific language (UI-DSL) enriched with provenance. This approach exposes the model's intermediate reasoning and enables user intervention and iterative refinement. In a technical evaluation on 40 real-world design prompts, LegoUI's requirement analysis stage captured explicit requirements with over 95% accuracy, near-complete coverage, and zero redundancy. In user studies, participants using LegoUI reported significantly greater transparency, controllability, and alignment with their intent compared to existing one-shot generative UI tools.
