用地图式界面帮新手找合适的图像生成提示词。
PromptMap: An Alternative Interaction Style for AI-Based Image Generation
- 通过语义相似性分组图片，用户可自由探索提示词地图。
- 实验显示用户在使用后能更有效地生成满意图像（n=60）。
- 适合不熟悉提示词设计的普通用户，尤其适合初学者。
近年来，图像生成技术使普通人也能轻松使用。但对新手而言，设计有效提示词仍具挑战。为此，我们开发了PromptMap，一种新型文本到图像AI交互方式，让用户通过类似地图的视图自由探索大量合成提示词，按语义相似性可视化分组图像，帮助发现相关示例。我们在一项跨被试在线研究（n=60）和一项定性同被试研究（n=12）中评估了该系统。结果表明，PromptMap通过提供示例支持用户构建提示词，并验证了利用大语言模型生成海量示例的可行性。本工作提出了一种新交互范式，帮助不熟悉提示词的用户获得满意的图像输出。
原文摘要 · Abstract (English)
Recent technological advances popularized the use of image generation among the general public. Crafting effective prompts can, however, be difficult for novice users. To tackle this challenge, we developed PromptMap, a new interaction style for text-to-image AI that allows users to freely explore a vast collection of synthetic prompts through a map-like view with semantic zoom. PromptMap groups images visually by their semantic similarity, allowing users to discover relevant examples. We evaluated PromptMap in a between-subject online study ($n=60$) and a qualitative within-subject study ($n=12$). We found that PromptMap supported users in crafting prompts by providing them with examples. We also demonstrated the feasibility of using LLMs to create vast example collections. Our work contributes a new interaction style that supports users unfamiliar with prompting in achieving a satisfactory image output.
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