HCNov 22, 2021

Analysis of pedestrian stress level using GSR sensor in virtual immersive reality

arXiv:2111.11492v215 citations
Originality Synthesis-oriented
AI Analysis

This addresses pedestrian safety and urban planning by quantifying stress factors in controlled environments, but it is incremental as it applies existing sensors to new scenarios.

The study investigated pedestrian stress levels during street crossing in virtual immersive reality, finding that vehicle density, age, and geometric variables like number of lanes positively correlate with increased stress, with younger pedestrians showing lower stress than older ones.

Level of emotional arousal of one's body changes in response to external stimuli in an environment. Given the risks involved while crossing streets, particularly at unsignalized mid-block crosswalks, one can expect a change in the stress level of pedestrians. In this study, we investigate the levels and changes in pedestrian stress, under different road crossing scenarios in immersive virtual reality. To measure the stress level of pedestrians, we used Galvanic Skin Response (GSR) sensors. To collect the required data for the model, Virtual Immersive Reality Environment (VIRE) tool is used, which enables us to measure participants' stress levels in a controlled environment. The results suggested that the density of vehicles has a positive effect, meaning as the density of vehicles increases, so does the stress level for pedestrians. It was noted that younger pedestrians have a lower amount of stress when crossing as compared to older pedestrians which have higher amounts of stress. Geometric variables have an impact on the stress level of pedestrians. The greater the number of lanes the greater the observed stress, which is due to the crossing distance increasing, while the walking speed remains the same.

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