نوع مقاله : مقاله مروری
نویسندگان
1 دانشیار گروه معماری و شهرسازی، دانشگاه هنر ایران، تهران، ایران
2 دانشجوی دکتری شهرسازی، گروه معماری و شهرسازی، دانشگاه هنر ایران، تهران، ایران
چکیده
تازه های تحقیق
کلیدواژهها
عنوان مقاله [English]
نویسندگان [English]
The rapid growth of cities and the absence of effective regulatory frameworks, have disrupted the reciprocal interaction between humans and built environments. These challenges have compromised cities’ ability to address the cognitive and physiological needs of their citizens. Neuro-urbanism, as an emerging approach, integrates urban planning, environmental psychology, and neuroscience to analyze neural feedback from the brain in response to urban environments, aiming to restore positive human-environment interaction. Among the various factors, visual complexity -directly linked to human physiology- can be reexamined within this framework from a novel perspective.
This study explores the concept of visual complexity in urban design, introduces the optimal spectrum of visual complexity, and identifies the capabilities of neuro-urbanism in examining this environmental factor. Recent studies in neuro-urbanism reveal that the relationship between unity and diversity in urban environments can be assessed through the analysis of neural processing speed for visual data. Empirical evidence indicates a direct correlation between beta waves and the complexity of fractal forms. Data obtained from electroencephalography (EEG) demonstrate that this tool can effectively examine cognitive experiences related to unity and diversity as well as neural processing speed. Additionally, theta frequency oscillations in frontal and prefrontal areas show significant associations with cognitive functions such as working memory, episodic memory, and spatial orientation. Increases in EEG signal amplitude often signify reduced salience of environmental elements, while decreases in amplitude indicate heightened salience. Finally, technical limitations of neuroimaging tools in real-world environments -such as sensitivity to environmental noise and movement- have been identified as major challenges. To address these issues, virtual reality (VR) environments are proposed as innovative tools to control environmental variables and mitigate technical constraints. This approach enables systematic manipulation of visual complexity variables and enhances the accuracy of neural data recording.
کلیدواژهها [English]
)