Protosampling: Enabling Free-Form Convergence of Sampling and Prototyping through Canvas-Driven Visual AI Generation

要旨

As an emergent process, creativity relies on explorations via sampling and prototyping for problem construction. These activities compile knowledge, provide a context enveloping the solution, and answer questions. With Generative AI, practitioners can go beyond sampling existing media towards instantly generating and remixing new ones. We refer to this convergence as 'Protosampling'. Using existing literature we ground a definition for protosampling and operationalize it through Atelier, a canvas-like system that leverages a variety of generative image and video models for visual creation. Atelier: (1) blends the spaces for thinking and creation, where both references and generated assets co-exist in one space, (2) provides various encapsulated technical workflows that focus on the activity at hand, and (3) enables navigating emergence through interactive visualizations, smart search, and collections. Protosampling as a lens reframes creative work to emphasize the process itself and how seemingly disjointed thoughts can tightly interweave into a final solution.

著者
Alicia Guo
Autodesk Research, Toronto, Ontario, Canada
David Ledo
Autodesk Research, Toronto, Ontario, Canada
George Fitzmaurice
Autodesk Research, Toronto, Ontario, Canada
Fraser Anderson
Autodesk Research, Toronto, Ontario, Canada

会議: CHI 2026

ACM CHI Conference on Human Factors in Computing Systems

セッション: Creating with AI

P1 - Room 112
7 件の発表
2026-04-16 20:15:00
2026-04-16 21:45:00