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Bridging Space Perception, Emotions, and Artificial Intelligence in Neuroarchitecture
Avishag Shemesh1,2, Gerry Leisman1,3, Yasha Jacob Grobman4
1Movement and Cognition Laboratory, Department of Physical Therapy, University of Haifa, Haifa 3103301, Israel.
Neuroarchitecture links building design to brain activity, using virtual reality and AI. New research shows how architectural elements impact emotion and cognition, guiding future well-being-focused design.
Area of Science:
- Neuroscience and Architecture: An interdisciplinary review exploring the impact of the built environment on human neural processing.
- Emerging Technologies in Design Research: Focus on virtual reality (VR) and artificial intelligence (AI) for understanding spatial experiences.
Background:
- Neuroarchitecture has rapidly advanced, establishing measurable connections between architectural features and human brain activity.
- Existing research highlights the influence of built environments on occupant emotions, stress, and cognitive functions.
Purpose of the Study:
- To synthesize current research on neuroarchitecture, emphasizing the role of VR and AI in understanding human spatial experience.
- To identify methodological advances and propose a framework for future neuroarchitectural studies.
Main Methods:
- Systematic literature review of empirical studies from 2015-2025.
- Categorization of research into neuroarchitectural components, physiological sensing (EEG, HRV) with VR, and AI integration.
- Analysis of how built environment elements affect brain activity and occupant responses.
Main Results:
- Architectural elements like geometry and lighting demonstrably influence brain regions associated with emotion, stress, and cognition.
- VR experiments coupled with neuroimaging and physiological sensors provide ecologically valid data on occupant responses.
- AI facilitates real-time emotion recognition and pattern discovery, linking design features to emotional outcomes.
Conclusions:
- The current evidence base for neuroarchitecture is developing, with limitations in sample size and data fragmentation.
- A proposed 'SPEC' framework (somatic, psychological, emotional, cognitive) can guide future research.
- Interdisciplinary collaboration leveraging AI and VR is crucial for creating robust datasets and neuro-informed design tools for enhanced well-being.
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