Virtual Reality Teaches Autistic Children to Cross Streets Safely

Key points
- The independence of children with autism depends on their receiving treatment in natural settings.
- The best way to teach children with autism skills is through repeated practice in natural settings, but the danger of learning to cross the street in a natural setting obviously prohibits this method.
- Six autistic children, ages 7-12, spent one month learning how to cross virtual streets, to wait for the virtual light at the crosswalk to change and to look left and right for virtual cars using a simulation programmed by Yuval Naveh.
- The children in the study showed substantial improvement throughout the learning process: at the beginning of the study, the average child was able to use the 2nd level of the software while by the end they mastered the 9th level, which is characterized by more vehicles traveling at a higher speed.
The independence of children with autism depends on their receiving treatment in natural settings. One of the main problems they face is their inability to learn how to safely cross the street, a necessary skill for independent living. While acquiring this skill could greatly improve these children's independence, most of the methods for teaching street-crossing have been designed for use within the classroom, and they have been shown as insufficiently effective among autistic children.
The best way to teach children with autism skills is through repeated practice in natural settings, but the danger of learning to cross the street in a natural setting obviously prohibits this method. This is where virtual reality is very effective, as demonstrated by the research team which included Hadass Milika Ben-Chaim, then a student in the Occupational Therapy master’s program and Shula Friedrich, the principal of the Haifa Ofer School for Children with Autism as well as Profs. Josman and Weiss.
Six autistic children, ages 7-12, spent one month learning how to cross virtual streets, to wait for the virtual light at the crosswalk to change and to look left and right for virtual cars using a simulation programmed by Yuval Naveh.
The children in the study showed substantial improvement throughout the learning process: at the beginning of the study, the average child was able to use the 2nd level of the software while by the end they mastered the 9th level, which is characterized by more vehicles traveling at a higher speed.
However, the research team was not looking to teach a virtual skill; they wanted to see if the children were able to transfer the skills they had mastered in a virtual environment to the real world. A local practice area with a street and crosswalk, complete with traffic signals, was used for this purpose. The children's ability to cross the street safely was tested in this area evaluating, for example, whether they stopped to wait on the sidewalk or waited for a green light before crossing. The children were brought to the practice area before and after their virtual learning. Here too, the children exhibited an improvement in their skills, following the training on the virtual street, with three of the children showing considerable improvement.
One of the study participants, 16 years old, had participated in the past in a road safety program in the school, but he was not able to learn how to cross the street safely. Following learning the skill in a virtual environment, he learned how to stop on the sidewalk before stepping into the street, to look at the color of the traffic light, to cross only when the light was green and to cross without waiting too long.
"Previous studies have shown that autistic children respond well to computer learning. In this research we learned that their intelligence level or severity of their autism doesn't affect their ability to understand the system and therefore this is an important way to improve their cognitive and social abilities," summarized Profs. Josman and Weiss.
Written and revised by
David Cohen, M.D.
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