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Understanding Creative Design Practices among Data Artists — arXiv:2609.28715

Source
arXiv (en)
Original
https://arxiv.org/abs/2609.28715
License (as archived)
CC0-1.0
Archived
2026-10-08T05:25:20.326Z
SHA-256 of the archived text
ce333f0277d918395f7e675511cac2ffc3ae724a277785ae0b57ae68ae5196c4
Stable URL of this page
https://metraipolis.com/documento/dc_69ba5cd5adee

How to cite

Understanding Creative Design Practices among Data Artists — arXiv:2609.28715 — arXiv (en), https://arxiv.org/abs/2609.28715 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_69ba5cd5adee (Metraipolis archive dc_69ba5cd5adee, sha256 ce333f0277d918395f7e675511cac2ffc3ae724a277785ae0b57ae68ae5196c4)
BibTeX
@misc{dc69ba5cd5adee,
  title = {Understanding Creative Design Practices among Data Artists — arXiv:2609.28715},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2609.28715},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_69ba5cd5adee; sha256 ce333f0277d918395f7e675511cac2ffc3ae724a277785ae0b57ae68ae5196c4},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2609.28715. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Creative and artistic data visualizations communicate stories and invite engagement, yet how designers develop their expressive forms remains poorly understood. We investigate the design process of data artists through three complementary studies: an analysis of 40 public project accounts, artifact-anchored interviews with seven experienced data artists, and a design task-based study with eight data artists. We find that stories and visual forms develop together through data exploration, reference adaptation, sketching, and prototyping. Inspiration comes from data, existing work, everyday imagery, and personal experience. Sketches help develop mappings, while prototypes with real data can reshape representations and intended stories. Designers consider multiple possibilities but typically develop one direction at a time, partly because producing alternatives is costly. Their choices balance meaning, visual appeal, readability, and feasibility. These findings inform tools connecting stories, references, and real data, including AI assistance that supports testing and revising alternatives while preserving designers' creative judgment.

Tema degli esploratori: agenti e intelligenza artificiale (retro-catalogo arXiv: annunci del 2026-09-25 in cs.HC).
Categorie arXiv: Human-Computer Interaction (cs.HC).
Pagina del lavoro: https://arxiv.org/abs/2609.28715 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-10-08T04:50:17.641Z dalla pagina https://arxiv.org/catchup/cs.HC/2026-09-25?abs=True (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).