Spellburst: a node-based interface for exploratory creative coding with natural language prompts

要旨

Creative coding tasks are often exploratory in nature. When producing digital artwork, artists usually begin with a high-level semantic construct such as a “stained glass filter” and programmatically implement it by varying code parameters such as shape, color, lines, and opacity to produce visually appealing results. Based on interviews with artists, it can be effortful to translate semantic constructs to program syntax, and current programming tools don’t lend well to rapid creative exploration. To address these challenges, we introduce Spellburst, a large language model (LLM) powered creative-coding environment. Spellburst provides (1) a node-based interface that allows artists to create generative art and explore variations through branching and merging operations, (2) expressive prompt-based interactions to engage in semantic programming, and (3) dynamic prompt-driven interfaces and direct code editing to seamlessly switch between semantic and syntactic exploration. Our evaluation with artists demonstrates Spellburst’s potential to enhance creative coding practices and inform the design of computational creativity tools that bridge semantic and syntactic spaces.

著者
Tyler Angert
Replit, Inc., New York, New York, United States
Jenny Han
Stanford University, Stanford, California, United States
Miroslav Suzara
Stanford University, Stanford, California, United States
Christopher Pondoc
Stanford University, Stanford, California, United States
Hariharan Subramonyam
Stanford University, Stanford, California, United States
論文URL

https://doi.org/10.1145/3586183.3606719

動画

会議: UIST 2023

ACM Symposium on User Interface Software and Technology

セッション: Words and Visuals: Authoring Tools for Text and Images

Gold Room
6 件の発表
2023-11-01 19:50:00
2023-11-01 21:10:00