Abstract
Understanding perceived authorship and creativity is critical for novice designers to improve efficiency and engagement in human-AI collaboration. This study explores how different AI influence levels (100% = high human-drawing influence, 0% = low drawing influence) affect perceived authorship and creativity, and how these levels relate to design intents that shape authorship and support the process-oriented nature of creativity. Vizcom workshop post-surveys measured perceived authorship and creativity (N=45). Regarding authorship, when high AI influence (low authorship threshold), basic resemblance to the sketch was enough; when low AI influence, participants expected signature cues and minimal AI changes. Regarding perceived creativity, high AI influence better fosters divergent thinking in the early concept phase, while low AI influence enhances refinement. This provides a framework for when—and at what AI-influence level—AI tools effectively support design intents (loose or tight) and different creative goals (exploration or refinement), helping students strategically leverage AI tools in the design process.
Keywords
Design Education, Creativity, Authorship, Image-to-Image AI collaboration
DOI
https://doi.org/10.21606/drs.2026.762
Citation
Kim, B., and Kim, H. (2026) Sketch-Based AI: How AI-Influence Levels Shape Perceived Authorship and Creativity in the Design Process, in Simeone, L., Gray, C. M., Verhoeven, A., de Götzen, A., Bakırlıoğlu, Y., Zohar, H., Stead, M., and Buwert, P. (eds.), DRS2026: Edinburgh, 8–12 June, Edinburgh, United Kingdom. https://doi.org/10.21606/drs.2026.762
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Included in
Sketch-Based AI: How AI-Influence Levels Shape Perceived Authorship and Creativity in the Design Process
Understanding perceived authorship and creativity is critical for novice designers to improve efficiency and engagement in human-AI collaboration. This study explores how different AI influence levels (100% = high human-drawing influence, 0% = low drawing influence) affect perceived authorship and creativity, and how these levels relate to design intents that shape authorship and support the process-oriented nature of creativity. Vizcom workshop post-surveys measured perceived authorship and creativity (N=45). Regarding authorship, when high AI influence (low authorship threshold), basic resemblance to the sketch was enough; when low AI influence, participants expected signature cues and minimal AI changes. Regarding perceived creativity, high AI influence better fosters divergent thinking in the early concept phase, while low AI influence enhances refinement. This provides a framework for when—and at what AI-influence level—AI tools effectively support design intents (loose or tight) and different creative goals (exploration or refinement), helping students strategically leverage AI tools in the design process.