During university I participated in two research projects on driver assistance systems in cars. In the first study we used a driving simulator. The other took place in a real car using eye tracking glasses. Both studies included use of statistic language R.
Driving simulator study: Adaptive cruise control
During my undergraduate program in the Netherlands I did research on adaptive cruise control systems. These systems help a driver to keep distance to the car in front. We studied to which extent the reliability of these systems had an impact on their acceptance. To find out, we set up and ran a driving simulator study. Statistical analysis and interpretation of the results led to a report, written in Dutch.
The results indicated that a unreliable system particularly disturbs experienced drivers. Unexperienced drivers do not detect the difference in reliability. This finding has serious implications. It might indicate that novice drivers might overrely on these systems.
Eye tracking study: Navigation systems
The second study was conducted by a small team at the TU Berlin. We wanted to know to which degree the position and level of detail of navigation systems distracts the driver. We set up a eye-tracking study on Berlin’s streets in a research car. Tasks involved running the trials and analysing the data in R.
We found that central devices distract more than peripheral system, regardless of detail level.