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Title: Human cognition and emotions for human-centred design in vertical interior urban spaces
Authors: Choi, HSS 
Bruyns, G 
Cheng, T 
Zhang, W 
Sharma, S 
Issue Date: 2024
Source: Journal of urban design, 2024, Latest Articles, Published online: 07 Jun 2024, ttps://doi.org/10.1080/13574809.2024.2357803
Abstract: Understanding the socio-psychological impact of living in high-rise, densely populated urban areas is essential for evaluating the quality of interior urban spaces within vertical urbanism, a field commonly known as ‘Urbanology’. This area combines urban psychology, anthropology and social science, often utilizing empirical methods such as surveys and interviews. This research offers scientific research methods that utilize electroencephalogram (EEG) and an artificial intelligence (AI) generator to establish a system and formula for accessing neuroscientific datasets. The goal is to establish a connection between emotions and the spatial conditions of urban environments.
Keywords: Neuroscientific research method for urban design
Vertical urbanism
Human-centred design
Publisher: Routledge
Journal: Journal of urban design 
ISSN: 1357-4809
EISSN: 1469-9664
DOI: 10.1080/13574809.2024.2357803
Rights: © 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License(http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any med-ium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.
The following publication Choi, H. S. (Sunny), Bruyns, G., Cheng, T., Zhang, W., & Sharma, S. (2024). Human cognition and emotions for human-centred design in vertical interior urban spaces. Journal of Urban Design, 1–24 is available at https://doi.org/10.1080/13574809.2024.2357803.
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