GUIDE (GenUI Development Environment), a system that lets designers continuously inspect and refine GenUI behavior as they create and edit interfaces through prompt optimization and a novel adaptive conformance scoring model, is introduced.
Abstract
Generative User Interfaces (GenUIs) enable applications to generate interfaces on demand from user needs and context. Like conventional UIs, they must still reflect designers'intent and conform to requirements such as brand identity. Unlike conventional UIs, designers cannot directly specify or see every interface a GenUI may produce, making design intent harder to enforce. We introduce GUIDE (GenUI Development Environment), a system that lets designers continuously inspect and refine GenUI behavior as they create and edit interfaces. GUIDE uses designers'modifications and interactions to adapt GenUIs through prompt optimization and a novel adaptive conformance scoring model. We validate GUIDE's scoring model and system. The scoring model matched or outperformed proprietary LLM baselines on held-out comparisons of real and synthetic application screens. In a study with 12 UI/UX practitioners, participants found GUIDE effective and usable and significantly preferred aligned outputs over a strong baseline using exemplars and a model-generated design.md.
A persona-driven, multi-agent workflow in which User-Agents execute Perceive–Decide–Act loops on rendered prototypes while a Supervisor-Agent verifies trace integrity and maps evidenced failures to established standards (ISO 9241-110 and Nielsen’s heuristics).
Oussama Touir, Farah Barika Ktata, M. Soui· 0 citations
Despite skepticism surrounding the integration of Generative AI (GenAI) into creative domains, its potential to transform Computer-Aided Design (CAD) workflows remains largely underexplored. In this study, we investigate how professional 3D CAD designers envision and evaluate GenAI-supported design processes. Using a “...
Emily Kuang, J. Vermeulen, George W. Fitzmaurice et al.· ACM Transactions on Computer...· 0 citations
This work designed a tool called dBlocks with the following features: blocks to scope content, a context manager to edit context, and inline execution to verify code, and shows how human-centered design can guide the development of LLM-integrated tools.
In-car infotainment systems are growing in complexity, making traditional design and engineering approaches costly and difficult to scale. Recent advances in large language models (LLMs) offer context-aware, dynamic capabilities, enabling interfaces to adapt in real-time and reducing the need for manual design. We prop...
Akshil Shah, Sebastian Zepf, Andreas Riener· Proceedings of the 18th Inte...· 0 citations
Generative user interfaces (GenUI) promise personalized interfaces to a user's tasks and needs. However, user needs are often implicit---difficult for systems to infer and users to articulate, making it hard for users to arrive at their ideal interface. We propose Elicitive User Interfaces, a design approach to GenUI t...
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Procedural generation is widely applied, from accelerating development of large and detailed virtual worlds to providing highly varied game content during gameplay. However, for procedural generators to be widely adopted, developers and artists must be able to select a suitable approach and contextualize it with respec...
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