Bridging the Gap between Neuroarchitecture, Artificial Intelligence, and Sustainability: A Systematic Review of Mental Health in the Built Environment

Abstract This paper presents a systematic review exploring the intersection of neuroarchitecture, artificial intelligence (AI), and sustainability, with a specific focus on their collective impact on mental health within the built environment. As urban populations grow, the need for architectural d...

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Main Authors: Esraa Elazab, Ahmed ELtawil
Format: Article
Language:Arabic
Published: Assiut University, Faculty of Engineering 2025-09-01
Series:JES: Journal of Engineering Sciences
Subjects:
Online Access:https://jesaun.journals.ekb.eg/article_432332_cc5619d9eb77fa5037d8d9b58b74fa05.pdf
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author Esraa Elazab
Ahmed ELtawil
author_facet Esraa Elazab
Ahmed ELtawil
author_sort Esraa Elazab
collection DOAJ
description Abstract This paper presents a systematic review exploring the intersection of neuroarchitecture, artificial intelligence (AI), and sustainability, with a specific focus on their collective impact on mental health within the built environment. As urban populations grow, the need for architectural designs that integrate both environmental sustainability and psychological well-being has become increasingly important. Neuroarchitecture draws from neuroscience to design spaces that influence cognitive function, emotional states, phycology and behaviour , while AI provides advanced tools to optimize these spaces for both mental health outcomes and resource efficiency. This review synthesizes recent advancements in neuroarchitectural design, highlighting the role of AI in dynamically adjusting architectural elements based on real-time cognitive mapping data (e.g., EEG, fMRI, and wearable sensors). Additionally, the integration of AI with sustainable design principles allows for adaptive environments that not only reduce environmental impact but also enhance occupant well-being by minimizing stress and promoting cognitive clarity. The scientific contribution of this review lies in identifying critical research gaps, particularly the limited empirical studies connecting these three fields into a unified framework, and proposing future directions for the use of AI-driven neuroarchitecture-sustainable adaptive designs, that support mental health and sustainability. Ethical considerations related to data privacy and consent are also discussed, providing a comprehensive understanding of the potential and challenges in designing AI-driven neuroarchitecture-sustainable adaptive designs.
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publishDate 2025-09-01
publisher Assiut University, Faculty of Engineering
record_format Article
series JES: Journal of Engineering Sciences
spelling doaj-art-cbb1f17bd9234acabe54ef1c7ee883422025-08-20T03:28:21ZaraAssiut University, Faculty of EngineeringJES: Journal of Engineering Sciences1687-05302356-85502025-09-0153568870510.21608/jesaun.2025.364554.1438432332Bridging the Gap between Neuroarchitecture, Artificial Intelligence, and Sustainability: A Systematic Review of Mental Health in the Built EnvironmentEsraa Elazab0Ahmed ELtawil1Dept. of Arch. Eng., Mansoura University, Mansoura, EgyptDept. of Arch. Eng., Delta university for science and technology, Mansoura, EgyptAbstract This paper presents a systematic review exploring the intersection of neuroarchitecture, artificial intelligence (AI), and sustainability, with a specific focus on their collective impact on mental health within the built environment. As urban populations grow, the need for architectural designs that integrate both environmental sustainability and psychological well-being has become increasingly important. Neuroarchitecture draws from neuroscience to design spaces that influence cognitive function, emotional states, phycology and behaviour , while AI provides advanced tools to optimize these spaces for both mental health outcomes and resource efficiency. This review synthesizes recent advancements in neuroarchitectural design, highlighting the role of AI in dynamically adjusting architectural elements based on real-time cognitive mapping data (e.g., EEG, fMRI, and wearable sensors). Additionally, the integration of AI with sustainable design principles allows for adaptive environments that not only reduce environmental impact but also enhance occupant well-being by minimizing stress and promoting cognitive clarity. The scientific contribution of this review lies in identifying critical research gaps, particularly the limited empirical studies connecting these three fields into a unified framework, and proposing future directions for the use of AI-driven neuroarchitecture-sustainable adaptive designs, that support mental health and sustainability. Ethical considerations related to data privacy and consent are also discussed, providing a comprehensive understanding of the potential and challenges in designing AI-driven neuroarchitecture-sustainable adaptive designs.https://jesaun.journals.ekb.eg/article_432332_cc5619d9eb77fa5037d8d9b58b74fa05.pdfneuroarchitectureartificial intelligencesustainable built environmentmental health
spellingShingle Esraa Elazab
Ahmed ELtawil
Bridging the Gap between Neuroarchitecture, Artificial Intelligence, and Sustainability: A Systematic Review of Mental Health in the Built Environment
JES: Journal of Engineering Sciences
neuroarchitecture
artificial intelligence
sustainable built environment
mental health
title Bridging the Gap between Neuroarchitecture, Artificial Intelligence, and Sustainability: A Systematic Review of Mental Health in the Built Environment
title_full Bridging the Gap between Neuroarchitecture, Artificial Intelligence, and Sustainability: A Systematic Review of Mental Health in the Built Environment
title_fullStr Bridging the Gap between Neuroarchitecture, Artificial Intelligence, and Sustainability: A Systematic Review of Mental Health in the Built Environment
title_full_unstemmed Bridging the Gap between Neuroarchitecture, Artificial Intelligence, and Sustainability: A Systematic Review of Mental Health in the Built Environment
title_short Bridging the Gap between Neuroarchitecture, Artificial Intelligence, and Sustainability: A Systematic Review of Mental Health in the Built Environment
title_sort bridging the gap between neuroarchitecture artificial intelligence and sustainability a systematic review of mental health in the built environment
topic neuroarchitecture
artificial intelligence
sustainable built environment
mental health
url https://jesaun.journals.ekb.eg/article_432332_cc5619d9eb77fa5037d8d9b58b74fa05.pdf
work_keys_str_mv AT esraaelazab bridgingthegapbetweenneuroarchitectureartificialintelligenceandsustainabilityasystematicreviewofmentalhealthinthebuiltenvironment
AT ahmedeltawil bridgingthegapbetweenneuroarchitectureartificialintelligenceandsustainabilityasystematicreviewofmentalhealthinthebuiltenvironment