Brief2Design: A Multi-phased, Compositional Approach to Prompt-based Graphic Design
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Abstract (arXiv)
Professional designers work from client briefs that specify goals and constraints but often lack concrete design details. Translating these abstract requirements into visual designs poses a central challenge, yet existing tools address specific aspects or induce fixation through complete outputs. Through interviews with six professional designers, we identified how designers address this challenge: first structuring ambiguous requirements, then exploring individual elements, and finally recombining alternatives. We developed Brief2Design, supporting this workflow through requirement extraction and recommendation, element-level exploration for objects, backgrounds, text, typography, and composition, and flexible recombination of selected elements. A within-subjects study with twelve designers compared Brief2Design against a conversational baseline. The structured approach increased prompt diversity and received high ratings for requirement extraction and recommendation, but required longer generation time and achieved comparable image diversity. These findings reveal that structured workflows benefit requirement clarification at the cost of efficiency, informing design trade-offs for AI-assisted graphic design tools.
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21 of 42 references.
References · 21
- 2022ReAct: Synergizing Reasoning and Acting in Language Modelscited by 8,355
- 2021AI Chains: Transparent and Controllable Human-AI Interaction by Chaining Large Language Model Promptscited by 265
- 2021Design Guidelines for Prompt Engineering Text-to-Image Generative Modelscited by 216
- 2023Luminate: Structured Generation and Exploration of Design Space with Large Language Models for Human-AI Co-Creationcited by 63
- 2024PromptCharm: Text-to-Image Generation through Multi-modal Prompting and Refinementcited by 61
- 2023PromptMagician: Interactive Prompt Engineering for Text-to-Image Creationcited by 58
- 2024LAVE: LLM-Powered Agent Assistance and Language Augmentation for Video Editingcited by 47
- 2023COLE: A Hierarchical Generation Framework for Multi-Layered and Editable Graphic Designcited by 39
- 2024The Effects of Generative AI on Design Fixation and Divergent Thinkingcited by 37
- 2025ART: Anonymous Region Transformer for Variable Multi-Layer Transparent Image Generationcited by 37
- 2024OpenCOLE: Towards Reproducible Automatic Graphic Design Generationcited by 36
- 2025POSTA: A Go-to Framework for Customized Artistic Poster Generationcited by 36
9 more
- 2023CreativeConnect: Supporting Reference Recombination for Graphic Design Ideation with Generative AIcited by 34
- 2023Prompting for Discovery: Flexible Sense-Making for AI Art-Making with Dreamsheetscited by 22
- 2024Understanding Nonlinear Collaboration between Human and AI Agents: A Co-design Framework for Creative Designcited by 22
- 2025BannerAgency: Advertising Banner Design with Multimodal LLM Agentscited by 11
- 2024LTSim: Layout Transportation-based Similarity Measure for Evaluating Layout Generationcited by 10
- 2025DesignWeaver: Dimensional Scaffolding for Text-to-Image Product Designcited by 6
- 2025Intent Tagging: Exploring Micro-Prompting Interactions for Supporting Granular Human-GenAI Co-Creation Workflowscited by 6
- 2025Dancing With Chains: Ideating Under Constraints With UIDEC in UI/UX Designcited by 3
- 2024Influencer: Empowering Everyday Users in Creating Promotional Posts via AI-infused Exploration and Customizationcited by 1
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