ArticleScientific reports2025
Contemporary architectural aesthetic preferences based on popular AI images and models of the Civitai architect community.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Architects often struggle to understand the architectural aesthetic preferences of their clients. At the same time, attention has been given to how individuals in artificial intelligence (AI) architect communities express these preferences. This study explores contemporary architectural aesthetic trends by analyzing content from the AI drawing platform Civitai. A multiphase research approach analyzed a dataset of 2,000 popular architectural images and 10 architectural models. In the literature review phase, 13 high-quality studies were selected to identify key indicators for evaluating architectural aesthetics. The study phase involved rigorous reviews of data characteristics, resulting in two sets of statistical results. The drawing verification phase utilized three of the most popular architectural renderings and models to validate the findings. The study reveals that ultra-modern and futuristic architecture is emerging as a new style, accounting for 69.9% of the total usage of architectural preferences. AI community users articulate their architectural aesthetic preferences, prioritizing a building's structure and external environment. Specifically, the "structure prompt" comprises 31.11%, the "structure tag" 23.37%, the "environment prompt" 20.83%, and the "environment tag" 24.5%. These results confirm that the surrounding environment plays a significant role in shaping architectural aesthetics. This study reveals emerging characteristics in contemporary architectural aesthetic preferences by AI-generated architect communities, providing valuable insights for architectural design and urban planning.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.