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« 2026. # 2 (188)

The Ethnology Notebooks. 2026. № 2 (188), 465—471

UDK 72.021.4:004.8

DOI https://doi.org/10.15407/10.15407/nz2026.02.465

  • Received: 14.03.2026
  • Accepted: 26.03.2026
  • Published: 27.04.2026

THE INFLUENCE OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES ON THE FORMATION OF VISUAL IMAGE IN ARCHITECTURAL DESIGN

RUDYCH Alona

  • ORCID ID: https://orcid.org/0009-0009-1234-869Х
  • Candidate of Arts, Senior Lecturer, Kharkiv National University
  • of Urban Economy named after O.M. Beketov, Department
  • of Fine Arts and Design, Scientific and Educational Institute
  • of Architecture, Design and Fine Arts, 
  • 17, Chornoglazivska Str., 61002, Kharkiv, Ukraine,
  • Contacts: e-mail: Alona.Simonova@kname.edu.ua 

SHERSTYUK Arsenii

  • ORCID ID: https://orcid.org/0009-0006-3721-4282
  • Master’s student, Kharkiv National University of Urban Economy
  • named after O.M. Beketov, Department of Fine Arts and Design, 
  • Scientific and Educational Institute of Architecture, Design and Fine Arts, 
  • 17,  Chornoglazivska Str., 61002, Kharkiv, Ukraine,
  • Contacts: e-mail: arfire1903@gmail.com

Abstract. The article is devoted to the study of the possibilities of using artificial intelligence technologies and generative models in the process of analysis and interpretation of historical architectural sources. Particular attention is paid to the application of machine learning algorithms for processing archival drawings, photographs and text descriptions of architectural objects in order to identify stylistic patterns and reconstruct lost elements of the architectural environment. 

The relevance of the topic is due to the active introduction of digital technologies and artificial intelligence into humanitarian and architectural research. Modern data analysis algorithms allow working with large arrays of historical materials, which opens up new opportunities for the study of architectural heritage, its systematization, digital reconstruction and preservation. 

The object of the study is historical architectural sources, represented by archival drawings, photographs, text descriptions and other documentary materials that reflect the development of architectural forms and styles. The subject of the research is the tools and algorithms of artificial intelligence used for the analysis of visual and textual architectural sources, as well as their potential in identifying stylistic patterns and reconstructing the architectural environment.

The scientific novelty of the research lies in identifying and substantiating the possibilities of applying artificial intelligence technologies and generative models for the analysis, systematization and interpretation of historical architectural sources in order to identify stylistic patterns and model reconstructions of the architectural environment.

The source base consists of archival graphic materials, historical photographs, text descriptions of architectural objects, scientific publications on the history of architecture, as well as digital databases and the results of processing materials using artificial intelligence algorithms.

The methodological basis of the research is the methods of comparative and structural analysis, digital image processing, machine learning algorithms and generative models of artificial intelligence. 

Keywords: architectural design, artificial intelligence, generative design, digital modelling, visualisation, algorithmic design.

REFERENCES

  • Cheng, Liang-Yi. (2022). Lecture Notes on Data Engineering and Communication Technologies. ICGG 2022. Proceedings of the 20th International Conference on Geometry and Graphics (P. 830). ISSN 2367-4520. 
  • As, De Imdat, & Basu, Pritvish. (2022). Artificial Intelligence in Urban Planning and Design. Technology, Implementation and Impact (Pp. 31, 73—74, 110, 263—264, 291). ISBN: 978-0-12-823941-4. 
  • Kristobel, Papita T., & Minakshi S. (2024). Integrating machine learning and remote sensing to enhance urban sustainability: a review and conceptual framework (Pp. 18—19). DOI:10.1016/j.scs.2023.104653. 
  • Chen, Yuan Li. (2024). Generative artificial intelligence models for different stages of architectural design. A literature review. DOI:10.1016/j.foar.2024.10.001. 
  • Furch, Borko. (2011). Augmented Reality Handbook. ISBN 978-1-4614-0063-9. 
  • Smorzenkov, N., & Ignatova, E. (2021). Using generative design to synthesise architectural solutions in typical residential building construction (Pp. 3—4). DOI:10.1051/e3sconf/202128104008. 
  • Stinson, Molly Wright. (2017). Architectural Intelligence. How Designers and Architects Created the Digital Landscape (P. 1). ISBN: 9780262343428. 
  • Rudavsky, St. (2021). The Cambridge Companion to Literature and the Anthropocene (P. 13). DOI:10.1017/ 9781108683111.010. 
  • Volnyak, R. (2024). Artificial Intelligence in Smart Cities — Applications, Barriers, and Future Directions. A Review (P. 1369). DOI:10.3390/smartcities7030057. 
  • Rane, N. (2023). Integrating Building Information Modelling (BIM) With ChatGPT, Bard, and Similar Generative Artificial Intelligence in the Architecture, Engineering, and Construction Industry. Applications, a Novel Framework, Challenges, and Future Scope (P. 1). Retrieved from: https://dx.doi.org/10.2139/ssrn.4645601. 

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