Score: 2

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

Published: April 19, 2025 | arXiv ID: 2504.14320v2

By: Nimisha Karnatak , Adrien Baranes , Rob Marchant and more

BigTech Affiliations: Google

Potential Business Impact:

Helps small businesses make ads easily.

Business Areas:
Natural Language Processing Artificial Intelligence, Data and Analytics, Software

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.

Country of Origin
🇬🇧 🇺🇸 United Kingdom, United States

Page Count
6 pages

Category
Computer Science:
Human-Computer Interaction