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Capable but Not Scalable: Requirements and Interaction Costs of Building Multi-View CAD Datasets for Design Research — arXiv:2611.02108

Source: arXiv (en)
Original: https://arxiv.org/abs/2611.02108
License (as archived): CC0-1.0
Archived: 2026-11-03T11:18:47.975Z
SHA-256 of the archived text: b7030d2ba89d9dff6f36cad45a7609df2c4ff08c4c345138d2366106f4344b6d
Stable URL of this page: https://metraipolis.com/documento/dc_762c41da41bc

How to cite

Capable but Not Scalable: Requirements and Interaction Costs of Building Multi-View CAD Datasets for Design Research — arXiv:2611.02108 — arXiv (en), https://arxiv.org/abs/2611.02108 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_762c41da41bc (Metraipolis archive dc_762c41da41bc, sha256 b7030d2ba89d9dff6f36cad45a7609df2c4ff08c4c345138d2366106f4344b6d)

BibTeX

@misc{dc762c41da41bc,
  title = {Capable but Not Scalable: Requirements and Interaction Costs of Building Multi-View CAD Datasets for Design Research — arXiv:2611.02108},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2611.02108},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_762c41da41bc; sha256 b7030d2ba89d9dff6f36cad45a7609df2c4ff08c4c345138d2366106f4344b6d},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2611.02108. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Transforming CAD models into consistent multi-view image datasets is increasingly important for AI-driven product design research, yet existing workflows can impose substantial burdens on researchers without programming expertise. We examine this challenge from a human-computer interaction (HCI) perspective by analyzing ten reported rendering practices and deriving fourteen requirements spanning dataset quality, visual consistency, and user interaction. We then assess eleven development- and design-oriented tools against an illustrative task involving STEP models, interpreting potential interaction costs through the cognitive dimensions framework. Our analysis reveals a gap between technical capability and practical scalability: programming-based frameworks offer flexible automation but require coding expertise, while graphical design tools provide accessible functionality yet retain repetitive per-product operations. No assessed workflow combines a low programming threshold, low repetition viscosity, and flexible protocol configuration. Based on these findings, we propose design directions including reusable rendering presets, collection-wide previews and corrections, mixed-initiative orientation assignment, and automatic provenance recording. This work reframes CAD dataset generation as an end-user interaction design problem and establishes requirements for more accessible, scalable dataset creation tools.

Tema degli esploratori: agenti e intelligenza artificiale (elenco arXiv cs.HC, nuovi lavori del giorno).
Categorie arXiv: Human-Computer Interaction (cs.HC).
Pagina del lavoro: https://arxiv.org/abs/2611.02108 — 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 2026-11-03T11:02:22.171Z dalla pagina https://arxiv.org/list/cs.HC/new (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).