Visual Discomfort in the Built Environment : Leveraging Generative AI and Computational Analysis to Evaluate Predicted Visual Stress in Architectural Façades
Valentine, Cleo (University of Cambridge. Department of Architecture)
Wilkins, Arnold (University of Essex. Department of Architecture)
Mitcheltree, Heather (University of Cambridge. Department of Architecture)
Penacchio, Olivier (Universitat Autònoma de Barcelona. Departament de Ciències de la Computació)
Beckles, Bruce (University of Cambridge)
Hosking, Ian (University of Cambridge. Department of Engineering)

Data:	2025
Resum:	The built environment is increasingly recognized as a critical determinant of human health, profoundly influencing neurophysiological and psychological well-being. Previous studies show that specific visual patterns can elicit cortical hyperexcitation and visual discomfort, particularly in individuals with a predisposition to cortical hyperexcitability. However, traditional approaches to examining visual stress have yet to capture the complexity of ways in which the built environment may contribute to visual discomfort. This study presents a novel, integrated analytical methodology that merges generative artificial intelligence (using Midjourney v6. 1) with advanced Fourier-based computational analysis to quantify the impact of architectural façades on visual stress. By systematically varying contrast ratios, pattern periodicity, spatial frequency distribution, stylistic elements, and geometric curvature across nine façade designs, the research generated a diverse array of stimuli that were then analyzed using the Visual Stress Analysis Tool (ViStA). This tool employs Fourier spatial frequency decomposition to extract key metrics that are proxy indicators of potential cortical stress responses. The results revealed that façades with regularly spaced elements at approximately three cycles per degree exhibited the highest stress metrics, particularly when combined with high contrast ratios and consistent repetition. Vertical wooden slats and vertical metal screening elements produced the most pronounced indicators of visual stress, while more varied geometric compositions demonstrated substantially lower stress metrics. This methodology offers a scalable, reproducible approach for the evaluation of visual stress. The framework lays the groundwork for developing a more robust evidence base to support architectural design decision-making that proactively addresses the health impacts of the built environment.
Drets:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Llengua:	Anglès
Document:	Article ; recerca ; Versió publicada
Matèria:	Visual stress ; Allostatic load ; Generative AI ; Architectural neurophysiology ; Cortical hyperexcitability ; Neural processing
Publicat a:	Buildings, Vol. 15, Issue 13 (June 2025) , art. 2208, ISSN 2075-5309

DOI: 10.3390/buildings15132208

24 p, 18.5 MB

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