Decoding Pedestrian Stress on Urban Streets using Electrodermal Activity Monitoring in Virtual Immersive Reality
Mohsen Nazemi, Bara Rababah, Daniel Ramos, Tangxu Zhao, Bilal Farooq

TL;DR
This study uses immersive virtual reality and electrodermal activity monitoring to analyze pedestrian stress levels during street crossing, revealing key factors like street design, age, and avatar traits that influence stress.
Contribution
It introduces a VR-based method combined with EDA monitoring to systematically assess pedestrian stress under various urban crossing scenarios.
Findings
Street medians reduce pedestrian stress.
Younger pedestrians are calmer than older ones.
Avatar traits influence arousal levels.
Abstract
The pedestrian stress level is shown to significantly influence human cognitive processes and, subsequently, decision-making, e.g., the decision to select a gap and cross a street. This paper systematically studies the stress experienced by a pedestrian when crossing a street under different experimental manipulations by monitoring the ElectroDermal Activity (EDA) using the Galvanic Skin Response (GSR) sensor. To fulfil the research objectives, a dynamic and immersive virtual reality (VR) platform was used, which is suitable for eliciting and capturing pedestrian's emotional responses in conjunction with monitoring their EDA. A total of 171 individuals participated in the experiment, tasked to cross a two-way street at mid-block with no signal control. Mixed effects models were employed to compare the influence of socio-demographics, social influence, vehicle technology, environment,…
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Taxonomy
TopicsGait Recognition and Analysis · Fire Detection and Safety Systems
