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MAxPrototyper: A Multi-Agent Generation System for Interactive User Interface Prototyping

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arxiv 2405.07131 v1 pith:ER5P4GBD submitted 2024-05-12 cs.HC cs.MA

Mingyue Yuan , Jieshan Chen , Aaron Quigley This is my paper · ORCID
classification cs.HCcs.MA
keywords designmaxprototypergenerationinteractivemulti-agentsystemuserchallenges
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In automated user interactive design, designers face key challenges, including accurate representation of user intent, crafting high-quality components, and ensuring both aesthetic and semantic consistency. Addressing these challenges, we introduce MAxPrototyper, our human-centered, multi-agent system for interactive design generation. The core of MAxPrototyper is a theme design agent. It coordinates with specialized sub-agents, each responsible for generating specific parts of the design. Through an intuitive online interface, users can control the design process by providing text descriptions and layout. Enhanced by improved language and image generation models, MAxPrototyper generates each component with careful detail and contextual understanding. Its multi-agent architecture enables a multi-round interaction capability between the system and users, facilitating precise and customized design adjustments throughout the creation process.

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Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Zero-Shot Prompting Approaches for LLM-based Graphical User Interface Generation

    cs.SE 2024-12 conditional novelty 6.0 of 10

    A self-critique prompting loop outperformed retrieval-augmented and decomposed prompting for zero-shot generation of high-fidelity GUI prototypes, based on over 3,000 crowdworker ratings.

  2. CRMAgent: A Multi-Agent LLM System for E-Commerce CRM Message Template Generation

    cs.CL 2025-07 reject novelty 4.0 of 10

    A multi-agent LLM pipeline for rewriting e-commerce CRM messages reports large quality gains, but the gains are judged by the same model that produces the rewrites, so they are not independently validated.

  3. Bot-Driven Development: From Simple Automation to Autonomous Software Development Bots

    cs.SE 2024-11 conditional novelty 3.0 of 10

    The paper frames bot-driven development as a paradigm shift from reactive assistant bots to proactive autonomous agents, and proposes a research agenda to study it.

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