Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
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PAPERS: Sketching and generative AI Location: 40 George Square, LG.09 Zoom Link Accessibility: https://www.accessable.co.uk/the-university-of-edinburgh/central-area/access-guides/george-square-40-lecture-theatres Session Chair: Amos Scully, Rochester Institute of Tech Session Chair: JanWillem Hoftijzer, Delft University of Technology | |
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Sketch-Based AI: How AI-Influence Levels Shape Perceived Authorship and Creativity in the Design Process 1: North Carolina State University, United States of America; 2: Carnegie Mellon University, United States of America 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. View Paper: https://doi.org/10.21606/drs.2026.762
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