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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https://hci.top/en/papers/iui/195768/2025

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DOI: https://doi.org/10.1145/3708359.3712150
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Source
IUI
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Year
2025
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Authors
6 authors
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Subtopics
Generative AI (Text, Image, Music, Video), Interactive Data Visualization
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Professions
UI/UX Designers, Consumers & Shoppers
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Content Status
Abstract only
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