为新手设计师打造结构化多模态提示工具，提升广告创意生成的精准度。
Expanding the Generative AI Design Space through Structured Prompting and Multimodal Interfaces
- 设计三面板结构化输入，整合品牌、受众与灵感视觉
- 实测显示用户生成内容更贴合品牌定位，减少通用化表达
- 适合无设计背景的中小企业主快速产出定制化广告
文本提示仍是生成式AI的主要交互方式，但对小企业主等新手用户在广告等特定领域表达创意目标时存在障碍。通过对英国6位小企业主的形成性研究，我们识别出三大挑战：难以通过提示表达品牌直觉、生成过程及之后缺乏精细调整机会、常产出缺乏品牌特性的通用内容。为此，我们提出ACAI（广告与灵感协同创作人工智能），一种面向新手设计师的多模态生成式AI工具，突破传统文本提示界面。ACAI包含三个面板：品牌、受众与目标，以及灵感板，帮助用户传递品牌相关上下文和视觉偏好。本研究通过结构化界面展现如何突出用户定义的上下文，提升生成内容对齐度，并增强新手创意流程中的协同控制力，推动人机交互领域生成系统的研究进展。
原文摘要 · Abstract (English)
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.
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