ACM SIGCHI Conference on Human Factors in Computing Systems

Protosampling

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

Atelier is a system that operationalizes protosampling – the practice of tightening sampling and prototyping for creating AI visuals. It enables a co-existence between collected and generated assets, provides a set of ‘easels’ that encapsulate complex workflows, and fosters collection and reflection through provenance.

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.

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