A Word is Worth a Thousand Pictures: Prompts as AI Design Material
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Abstract (arXiv)
Recent advances in Machine-Learning have led to the development of models that generate images based on a text description.Such large prompt-based text to image models (TTIs), trained on a considerable amount of data, allow the creation of high-quality images by users with no graphics or design training. This paper examines the role such TTI models can playin collaborative, goal-oriented design. Through a within-subjects study with 14 non-professional designers, we find that such models can help participants explore a design space rapidly and allow for fluid collaboration. We also find that text inputs to such models ("prompts") act as reflective design material, facilitating exploration, iteration, and reflection in pair design. This work contributes to the future of collaborative design supported by generative AI by providing an account of how text-to-image models influence the design process and the social dynamics around design and suggesting implications for tool design
Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). First posted on arXiv 22 Mar 2023.
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Citing papers per year: 2023: 5; 2024: 1; 2025: 2.
8 papers.
- 2023Unifying the Perspectives of NLP and Software Engineering: A Survey on Language Models for Codecited by 62
- 2023Spellburst: A Node-based Interface for Exploratory Creative Coding with Natural Language Promptscited by 30
- 2023Scientists' Perspectives on the Potential for Generative AI in their Fieldscited by 22
- 2023Using Text-to-Image Generation for Architectural Design Ideationcited by 16
- 2023User Experience Design Professionals' Perceptions of Generative Artificial Intelligencecited by 16
- 2025Vibe Coding in Product Teams: Reconfiguring AI-Assisted Workflows, Prototyping, and Collaborationcited by 4
- 2024"When He Feels Cold, He Goes to the Seahorse"-Blending Generative AI into Multimaterial Storymaking for Family Expressive Arts Therapycited by 3
- 2025A Picture is Worth a Thousand Prompts? Efficacy of Iterative Human-Driven Prompt Refinement in Image Regeneration Taskscited by 2
- 2025Vibe Coding in Product Teams: Reconfiguring AI-Assisted Workflows, Prototyping, and Collaboration12 Sep 2025
- 2025A Picture is Worth a Thousand Prompts? Efficacy of Iterative Human-Driven Prompt Refinement in Image Regeneration Tasks29 Apr 2025
- 2024"When He Feels Cold, He Goes to the Seahorse"-Blending Generative AI into Multimaterial Storymaking for Family Expressive Arts Therapy9 Feb 2024
- 2023Unifying the Perspectives of NLP and Software Engineering: A Survey on Language Models for Code14 Nov 2023
- 2023User Experience Design Professionals' Perceptions of Generative Artificial Intelligence26 Sep 2023
- 2023Spellburst: A Node-based Interface for Exploratory Creative Coding with Natural Language Prompts7 Aug 2023
- 2023Using Text-to-Image Generation for Architectural Design Ideation20 Apr 2023
- 2023Scientists' Perspectives on the Potential for Generative AI in their Fields4 Apr 2023