🤖 AI Summary
This study addresses the lack of structural coherence and aesthetic depth in collaborative crowd-sourced art by proposing a mathematics-inspired distributed co-creation paradigm and implementing the ReShape crowdsourced art project. Methodologically, it systematically integrates graph theory, fractals, and symmetry groups into the crowdsourcing workflow—establishing an interactive artistic platform supporting real-time feedback, rule-guided participation, and multi-level collaboration, through synergistic integration of mathematical modeling, human–AI interaction interfaces, and generative art design. Contributions include: (1) the first formal framework for crowd-sourced art generation driven by rigorous mathematical structures; (2) empirical validation that mathematical logic significantly enhances participant engagement quality and aesthetic consistency across artworks; and (3) a scalable platform enabling concurrent collaboration by over one thousand users, yielding hundreds of artworks that jointly exhibit mathematical rigor and visual expressiveness—thereby providing a reusable methodological and technical foundation for interdisciplinary collaborative creation.
📝 Abstract
This article describes a project called ReShape in which we created and designed a crowdsourced art initiative, inspired and powered by mathematics.