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Hazard anticipation of young novice drivers - SWOV

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overestimate her or his own capabilities and does not underestimate or<br />

overestimate the risk in the traffic situation.<br />

The task-difficulty homeostasis model can be seen as possible<br />

functional architecture behind the second part <strong>of</strong> the proposed definition <strong>of</strong><br />

hazard <strong>anticipation</strong> (the ability to realize/feel the risk involved in a latent<br />

hazardous and the motivation to take anticipatory actions). However, no<br />

distinction is made between an automatic mode and a controlled mode <strong>of</strong><br />

hazard <strong>anticipation</strong>. The task-difficulty homeostasis model also does not<br />

<strong>of</strong>fer a possible explanation for the first part <strong>of</strong> the presented definition <strong>of</strong><br />

hazard <strong>anticipation</strong> (the skill to detect and recognize latent hazards and to<br />

predict how the situation can develop) as the information processing models<br />

do. Another limitation <strong>of</strong> motivational models in general is that no tests can<br />

be executed to falsify the theory (Popper, 1959). Supposed internal<br />

mechanisms regulate the behaviour <strong>of</strong> which the effects cannot be measured<br />

separately. A motivational model can explain why a certain driver starts to<br />

drive faster in a particular situation and the same model also can explain<br />

why the same driver slows down in that particular situation, if this would be<br />

the case (Michon, 1985; Ranney, 1994). This is to say every type <strong>of</strong> behaviour<br />

fits the theory and because <strong>of</strong> this, no accurate predictions can be made about<br />

how a driver will be have in certain circumstances.<br />

3.3.3. The zero-risk model<br />

Näätänen & Summala (1974) have developed a model on driver behaviour<br />

they themselves call a motivational model, but can be conceived as a hybrid<br />

model that has information processing elements and motivational elements.<br />

The authors assume that driving most <strong>of</strong> the times is a self-paced task where<br />

<strong>drivers</strong> proactively control the driving situation, based on their expectations<br />

<strong>of</strong> how things will develop in the near future. As long as the expectancy <strong>of</strong><br />

risk in the near future is below a certain threshold, <strong>drivers</strong> will not<br />

experience risk. In fact, <strong>drivers</strong> normally tend to avoid any risk experiences<br />

(Näätänen & Summala, 1976). In a recent version <strong>of</strong> this model, the concept<br />

<strong>of</strong> risk is substituted for discomfort as in Fuller's task-difficulty homeostasis<br />

model (see Section 3.3.2) (Summala, 2007). Figure 3.4 shows the zero-risk<br />

model.<br />

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