GenARch¶
Product or Programme · All products and programmes
Evidence · 2 claims (1 for, 1 mixed) · 1 study (1 causal),q1· 0 of 1 report an effect size · 2 claims rest on one study
Description¶
GenARch is a GenAI-assisted multi-user extended-reality pipeline developed by Xiao et al. for collaborative architectural conceptual design, combining visual generation, 2D-to-3D reconstruction, shared galleries, and spatial review.
Components¶
Claims¶
- Students used GenAI and XR in complementary roles: GenAI for ideation and visual reference generation, XR for spatial, contextual, and scale-based evaluation [+W]
- Students reported challenges with generated-model scale fidelity, shared attention in multi-user XR, motion comfort, and control over generation [~W]
Related Products and Programmes¶
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Key Sources¶
- Xiao, Y., Chen, M., Li, Y., Powers, N., Wiesenfeld, M., Smith, G., Farzin, S., Liu, S. (2026). Generative AI and Extended Reality in Collaborative Architectural Design Education: An Exploratory Studio Study. arXiv preprint arXiv:2609.13494. https://arxiv.org/abs/2609.13494. doi:10.48550/arxiv.2609.13494
Page metadata
| Field | Value |
|---|---|
type |
product |
id |
genarch |
title |
GenARch |
description |
GenARch is a GenAI-assisted multi-user extended-reality pipeline developed by Xiao et al. |
status |
review |
product_kind |
software |
generated |
by process:settle-candidates on 2026-10-11 |
trust |
unverified — no one has confirmed this page's content |
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