Expanding the Generative AI Design Space through Structured Prompting and Multimodal Interfaces
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Abstract (arXiv)
Text-based prompting remains the predominant interaction paradigm in generative AI, yet it often introduces friction for novice users such as small business owners (SBOs), who struggle to articulate creative goals in domain-specific contexts like advertising. Through a formative study with six SBOs in the United Kingdom, we identify three key challenges: difficulties in expressing brand intuition through prompts, limited opportunities for fine-grained adjustment and refinement during and after content generation, and the frequent production of generic content that lacks brand specificity. In response, we present ACAI (AI Co-Creation for Advertising and Inspiration), a multimodal generative AI tool designed to support novice designers by moving beyond traditional prompt interfaces. ACAI features a structured input system composed of three panels: Branding, Audience and Goals, and the Inspiration Board. These inputs allow users to convey brand-relevant context and visual preferences. This work contributes to HCI research on generative systems by showing how structured interfaces can foreground user-defined context, improve alignment, and enhance co-creative control in novice creative workflows.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 3 of its 16 references that are in the map. First posted on arXiv 19 Apr 2025.
Builds on
3 of 16 references.
References · 3
- 2023Bridging the Gulf of Envisioning: Cognitive Design Challenges in LLM Interfacescited by 72
- 2021Context-Aware Target Apps Selection and Recommendation for Enhancing Personal Mobile Assistantscited by 11
- 2023PromptCrafter: Crafting Text-to-Image Prompt through Mixed-Initiative Dialogue with LLMcited by 6
Built on by
Citing papers per year: 2026: 3.
3 papers.
- 2026Bridging Gulfs in UI Generation through Semantic Guidancecited by 1
- 2026Learning from AVA: Early Lessons from a Curated and Trustworthy Generative AI for Policy and Development Researchcited by 1
- 2026"I Just Need GPT to Refine My Prompts": Rethinking Onboarding and Help-Seeking with Generative 3D Modeling Toolscited by 0
- 2026Learning from AVA: Early Lessons from a Curated and Trustworthy Generative AI for Policy and Development Research20 Apr 2026
- 2026"I Just Need GPT to Refine My Prompts": Rethinking Onboarding and Help-Seeking with Generative 3D Modeling Tools31 Mar 2026
- 2026Bridging Gulfs in UI Generation through Semantic Guidance27 Jan 2026