What makes a good driver on public roads and race tracks? An interview study

Future vehicles may drive automatically in a human-like manner or contain systems that monitor human driving ability. Algorithms of these must have knowledge criteria good and safe behavior with regard to different styles. In the current study, interviews were conducted 30 drivers, including instructors, engineers, race drivers. The participants asked describe on public roads tracks, some questions supported video material. results interpreted help Endsley’s model situation awareness. showed there clear differences between what was considered track road, where for former, driver touch limit vehicle, whereas, latter, should be avoided. However, both cases, characterized by self-confidence, lack stress, not being aggressive. Furthermore, it mentioned driver’s posture viewing are essential components driving, which affect prediction events execution maneuvers. implications our findings development automation technology discussed. particular, we see potential estimation argue automated excel perception but difficulty making predictions.