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Hazard anticipation of young novice drivers - SWOV

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their own limitations, an increase in confidence is not very likely. This was<br />

also found in other studies about hazard <strong>anticipation</strong> training (Ivancic &<br />

Hesketh, 2000; McKenna et al., 2006).<br />

Second, it is <strong>of</strong> interest to ask whether SimRAPT would be as effective<br />

with <strong>novice</strong> <strong>drivers</strong> at 16 years <strong>of</strong> age as it is with participants in this study<br />

who have held their license for approximately 2 years. In fact, there are<br />

indications from the reduction in variability observed in the trained <strong>drivers</strong><br />

that, especially for the near transfer scenarios, SimRAPT seems to bring<br />

<strong>drivers</strong> who do relatively poor and <strong>drivers</strong> who do relatively well to the<br />

same level <strong>of</strong> hazard <strong>anticipation</strong> skills. This implies that SimRAPT could<br />

also be an effective training at a moment earlier in one's driving career than<br />

two years after full licensing. This is important because the highest crash rate<br />

is directly after licensing (see Section 1.2).<br />

Third, it is <strong>of</strong> interest to ask whether one can expect the effects <strong>of</strong><br />

training to last for an extended period <strong>of</strong> time (retention). A real limitation <strong>of</strong><br />

the present study is that participants were tested directly after the training.<br />

Thus, the effects on long term retention are not known. Because the<br />

experience <strong>of</strong> crashes or near crashes during the simulator training is<br />

presumed to create arousal and moderate levels <strong>of</strong> arousal enhance memory<br />

(McGaugh et al., 2002), it could be that retention <strong>of</strong> skills is better for<br />

SimRAPT than for RAPT-3 as in RAPT-3 no deliberate actions were taken to<br />

enhance memory consolidation. Whether SimRAPT has a more lasting effect<br />

than RAPT-3 remains to be tested.<br />

Fourth, it is <strong>of</strong> interest to ask whether the learning which occurs with<br />

SimRAPT and generalizes to the advanced simulator would actually be<br />

found in the real world and, additionally, whether there would be a<br />

corresponding reduction in crash rates. What the effect <strong>of</strong> SimRAPT is for<br />

driving behavior in the real world, is not known. This has been studied for<br />

RAPT-3 and significant positive effects <strong>of</strong> RAPT-3 on driving in the real<br />

world could be demonstrated (Pradhan et al., 2009). No studies <strong>of</strong> the effect<br />

<strong>of</strong> simulator-based error training on visual search for latent hazards on crash<br />

rates have been conducted. Clearly more research is required.<br />

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