Street crossing by typically developed children in real and virtual environments

Orit Bart, Noomi Katz, Patrice L. Weiss, Naomi Josman

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Objectives: Pedestrian injury is the second leading cause of death and serious injury among children between the ages of 5 and 14. The existing methods for teaching children how to cross the street safely are difficult to transfer to real life situations. The objective of this study was to evaluate the effectiveness of a Virtual Reality (VR) environment in teaching children how to cross a street safely. Method: Eighty-six children (55 girls and 31 boys), aged 7-12 years, participated in the study. The children were observed while crossing a real street and tested on a test in the virtual environment (VE) prior to and following VR training. Results: The children in the training group significantly improved their street crossing abilities in the VR simulation as well as in the real street crossing in comparison to the control group. Street crossing became safer with age however, no differences were found between boys and girls. Conclusions: This low-cost and readily available street crossing simulation had a positive effect on children's street crossing behavior and on their self-reported satisfaction.

Original languageEnglish
Title of host publicationFifth International Workshop on Virtual Rehabilitation, IWVR 2006
PublisherIEEE Computer Society
Pages42-46
Number of pages5
ISBN (Print)1424402808, 9781424402809
DOIs
StatePublished - 2006
Event5th International Workshop on Virtual Rehabilitation, IWVR 2006 - New York, NY, United States
Duration: 29 Aug 200630 Aug 2006

Publication series

NameFifth International Workshop on Virtual Rehabilitation, IWVR 2006

Conference

Conference5th International Workshop on Virtual Rehabilitation, IWVR 2006
Country/TerritoryUnited States
CityNew York, NY
Period29/08/0630/08/06

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Software
  • Rehabilitation

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