Driving instructor case study - predicting collision risk
This study was conducted with driving instructors from one of Canada’s largest driving schools, 168 instructors with a mean age of of 44.3. The objective was to test accuracy of the CogniFit driver assessment tool as a predictor of involvement in “at-fault” vehicle accidents.
Of the 29 drivers who'd been involved in an "at-fault" accident 89.7% were correctly identified by the program.
Of the 139 drivers who had not been involved in an "at-fault" accident 87.8% were correctly identified by the program.
Independent ROI Analysis by a major independent European insurance house
This analysis was conducted by a leading European insurance house. Conducted over a period of 2 years and with over 2,500 participants, the study concluded that by using the CogniFit Fleet Driver™ assessment & training program as both a screening and training tool the cost-savings runs into millions of dollars (US).
Ministry of Defence (UK) - predicting the duration of driver's training
This study was split into two parts. In the first part of the study the CogniFit driver assessment technology was used to predict the duration of driver's training. The study showed that the assessment technology was highly accurate in predicting who would be slow and quick learners.
The study also demonstrated that cognitive training helped the drivers pass their driving test in fewer days and that improving the driving-related cognitive skills made them better equipped to deal with the hazards of driving and drive in a safer way.
Cognitive & performance differences novice V experienced drivers
This study was presented by Roy Israeli (Industrial Psychologist - CogniFit ) at the International Fit to Drive conference. It explores alternative-indoor analysis methods as a means to prevent vehicle crashes, and supply better analyzing and training capabilities for novice drivers.
Training as a means for improving driving and cognitive performance among seniors
The aim of this study was to validate the effect of cognitive training with CogniFit Senior Driver™ on both cognitive abilities and driving performance (as was measured by a simulator) of elderly drivers.
Results show that whereas the control group did not show any significant improvements, the CogniFit Senior Driver™training group showed improved cognitive ability in different domains and improved overall safety while driving. This study provides proof that better cognition among elderly drivers means safer driving.
Demonstrating significant differences between cognitive abilities of healthy and physically impaired seniors.
The aim of this study was to discover whether cognitive differences exist between healthy and physically impaired elderly drivers. This is part of the effort to help elderly drivers drive safely for a longer period of time, enhancing their integration in society.
CogniFit Senior Driver™ was able to differentiate between healthy and physically impaired drivers on a variety of cognitive abilities. The findings can lay the foundation for future cognitive training programs for physically impaired drivers that will allow them to drive safely and for a longer period of time.