mlsanityData to 14 Oct 2026

Expanding the Generative AI Design Space through Structured Prompting and Multimodal Interfaces

arXiv 2504.14320 ↗First posted 19 Apr 2025cs.HC cs.AIcited by 3

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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

  1. 2023Bridging the Gulf of Envisioning: Cognitive Design Challenges in LLM Interfacescited by 72
  2. 2021Context-Aware Target Apps Selection and Recommendation for Enhancing Personal Mobile Assistantscited by 11
  3. 2023PromptCrafter: Crafting Text-to-Image Prompt through Mixed-Initiative Dialogue with LLMcited by 6

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 3.

3 papers.