Case Studies
For electronic copies of these studies please contact us on 1800 462 866
Ministry of Defence (UK) - predicting the duration of driver's training
This following was split into two parts. In the first part of the study the CogniFit 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.
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.
Cognitive & performance differences novice V experienced drivers
This paper was presented by Roy Israeli (Industrial Psychologist - CogniFit) at the International Fit to Drive conference. This study explores alternative-indoor analysis methods as a means to prevent vehicle crashes, and supply better analyzing and training capabilities for novice drivers.