Architecture and Neuroscience; what can the EEG recording of brain activity reveal about a walk through everyday spaces?

Article


Karandinou, A. and Turner, Louise 2018. Architecture and Neuroscience; what can the EEG recording of brain activity reveal about a walk through everyday spaces? International Journal of Parallel, Emergent and Distributed Systems. 32 (Sup 1), pp. S54-S65. https://doi.org/10.1080/17445760.2017.1390089
AuthorsKarandinou, A. and Turner, Louise
Abstract

New digital media and quantitative data have been increasingly used in an attempt to map, understand and analyse spaces. Each different medium with which we analyse and map spaces offers a different insight, and can potentially increase our tools and methods for mapping spaces and understanding human experience. The emergence of such technologies has the potential to influence the way in which we map, analyse and perceive spaces. Given this context, the project presented in this paper examines how neurophysiological data, recorded with the use of portable electroencephalography (EEG) devices, can help us understand how the brain responds to physical environments in different individuals. In this study we look into how a number of participants navigate in an urban environment; between specific identified buildings in the city. The brain activity of the participants is recorded with a portable EEG device whilst simultaneously video recording the route. Through this experiment we aim to observe and analyse the relationship between the physical environment and the participant’s type of brain activity. We attempt to correlate how key moments of their journey, such as moments of decision making, relate to recordings of specific brain waves. We map and analyse certain common patterns observed. We look into how the variation of the physical attributes of the built environment around them is related to the fluctuation of specific brain waves. This paper presents a specific project of an ongoing cross-disciplinary study between architecture and neuroscience, and the key findings of a specific experiment in an urban environment.

JournalInternational Journal of Parallel, Emergent and Distributed Systems
Journal citation32 (Sup 1), pp. S54-S65
ISSN1744-5760
Year2018
PublisherTaylor & Francis
Accepted author manuscript
Digital Object Identifier (DOI)https://doi.org/10.1080/17445760.2017.1390089
Web address (URL)https://doi.org/10.1080/17445760.2017.1390089
Publication dates
Print05 Feb 2018
Publication process dates
Deposited10 Oct 2017
Accepted30 Jun 2017
Accepted30 Jun 2017
Copyright information© 2018 Taylor Francis. This is an Accepted Manuscript of an article published by Taylor & Francis in International Journal of Parallel, Emergent and Distributed Systems on 05.02.18, available online: http://www.tandfonline.com/10.1080/17445760.2017.1390089
LicenseAll rights reserved (under embargo)
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