Mindscape: Research of high-information density street environments based on electroencephalogram recording and virtual reality head-mounted simulation
Yijiang Liu, Xiangyu Guan, Hui Wang, Lun Liu

TL;DR
This research investigates how architectural elements, specifically storefront sign density, influence pedestrian brain activity and spatial cognition using EEG and virtual reality simulations, offering insights for urban street design.
Contribution
It introduces a neuroscientific approach combining EEG and VR to study architectural impact on pedestrian cognition, focusing on sign density effects in East Asian urban streets.
Findings
Sign density affects brainwave patterns of pedestrians.
VR and EEG effectively assess architectural influence on cognition.
Guidelines for urban street design based on neuroscientific data.
Abstract
This study aims to investigate, through neuroscientific methods, the effects of particular architectural elements on pedestrian spatial cognition and experience in the analysis and design of walking street spaces. More precisely, this paper will describe the impact of the density variation of storefront signs on the brainwaves of passersby in East Asian city walking streets, providing strategies and guidelines for urban development and renewal. Firstly, the paper summarizes the research method through the review of research questions and related literature; secondly, the paper establishes experiments via this path, analyzing results and indicators through data processing; finally, suggestions for future pedestrian street design are proposed based on research and analysis results.
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Taxonomy
TopicsEvacuation and Crowd Dynamics
