Validation of virtual reality as a tool to understand and prevent child pedestrian injury

Schwebel, David C.; Gaines, Joanna; Severson, Joan

doi:10.1016/j.aap.2008.03.005

Cited by 194 publications

(154 citation statements)

References 30 publications

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“…Finally, these data mirrored published accident statistics as well as developmental differences between younger and older adults, suggesting that the VR tool was valid to examine crossing skills and strategies. While some of our results supported a relatively good psychological validity of the VR situation, direct comparisons between VR simulations and road-crossing behavior in a natural environment are still needed (e.g., Schwebel et al, 2008).…”

Section: Decisionsmentioning

confidence: 56%

The effects of age and traffic density on street-crossing behavior

Lobjois¹,

Benguigui

Cavallo³

2013

Accident Analysis & Prevention

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Please cite this article as: Lobjois, R., Benguigui, N., Cavallo, V., The effects of age and traffic density on street-crossing behavior, Accident Analysis and Prevention (2010), doi:10.1016/j.aap.2012 This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. A c c e p t e d M a n u s c r i p t AbstractPast research has shown that road users accept shorter time gaps when the waiting time/number of vehicles they let pass before attempting to merge into the traffic increases.While elderly pedestrians are known to be an extremely vulnerable group of road users, very few studies dealt with the effect of environmental constraints and crossing complexity on this population's safety. The present study aimed at determining whether or not street-crossing decisions and behavior of younger and older pedestrians were differently affected by a traffic flow. In an interactive street-crossing task, we assessed whether mean time gap and crossing decisions depended on the position of the gap pedestrians selected into the traffic stream.Results revealed that irrespective of their age pedestrians accepted a smaller time gap when they chose the second interval of the traffic compared to the first one. Contrasting with previous hypotheses, this traffic-related behavior was not accompanied by an increase in the decisions risk. The findings also showed that the transition threshold from rejecting to accepting time gaps was shorter when the second interval was selected compared to the first one. This increment in task constraints might help younger and older pedestrians alike to perceive action possibilities more accurately and to be better attuned to traffic conditions by comparing gaps between each other. This opens an interesting perspective in the understanding and the training of the ability of elderly road users to remain accurate in their judgements.

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Section: Decisionsmentioning

confidence: 56%

The effects of age and traffic density on street-crossing behavior

Lobjois¹,

Benguigui

Cavallo³

2013

Accident Analysis & Prevention

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show abstract

“…With regards to the pedestrian task, the effects of peers on other, potentially more risky, types of crossing decisions are needed, such as judging traffic gaps. The use of pedestrian simulation would be valuable in this respect (Schwebel et al 2008). Safety education often focuses on the individual and his or her behavior, but individuals are also peers and potential influencers of their friends' behaviors.…”

Section: Discussionmentioning

confidence: 99%

The Effects of Peer Influence on Adolescent Pedestrian Road-Crossing Decisions

Pfeffer

Hunter

2013

Traffic Injury Prevention

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“…Specifics of the hardware, software, and experience within the virtual environment are published elsewhere (Schwebel et al, 2008). Briefly, participants are semi-immersed into an environment displaying a 180 • perspective on three monitors arranged in a semi-circle in front of them.…”

Section: Virtual Reality Protocol and Measuresmentioning

confidence: 99%