PromptMap: An Alternative Interaction Style for AI-Based Image Generation
Fuente:
arXiv
Guardado en:
| Autores principales: | , , , , , |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| _version_ | 1866915224393613312 |
|---|---|
| author | Adamkiewicz, Krzysztof Woźniak, Paweł W. Dominiak, Julia Romanowski, Andrzej Karolus, Jakob Frolov, Stanislav |
| author_facet | Adamkiewicz, Krzysztof Woźniak, Paweł W. Dominiak, Julia Romanowski, Andrzej Karolus, Jakob Frolov, Stanislav |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_09436 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | PromptMap: An Alternative Interaction Style for AI-Based Image Generation Adamkiewicz, Krzysztof Woźniak, Paweł W. Dominiak, Julia Romanowski, Andrzej Karolus, Jakob Frolov, Stanislav Human-Computer Interaction Artificial Intelligence 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. |
| title | PromptMap: An Alternative Interaction Style for AI-Based Image Generation |
| topic | Human-Computer Interaction Artificial Intelligence |
| url | https://arxiv.org/abs/2503.09436 |