Hazard anticipation of young novice drivers - SWOV
Hazard anticipation of young novice drivers - SWOV
Hazard anticipation of young novice drivers - SWOV
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were applied, can be concluded that experienced <strong>drivers</strong> and <strong>novice</strong> <strong>drivers</strong><br />
may differ in their feelings <strong>of</strong> risk, but they do not appear to differ in their<br />
ability to recognize latent hazards on photographs.<br />
De Craen (2010) developed a behavioural adaptation test in which use was<br />
made <strong>of</strong> static traffic scenes. The emphasis in her test was not on the<br />
cognitive aspect <strong>of</strong> hazard <strong>anticipation</strong>, but on the emotional and<br />
motivational aspect <strong>of</strong> hazard <strong>anticipation</strong>. The questions she was interested<br />
in were whether older, more experienced <strong>drivers</strong> calibrate better than <strong>young</strong><br />
<strong>novice</strong> <strong>drivers</strong> and whether calibration skills improve with culminating<br />
experience. De Craen measured calibration skills by presenting participants<br />
pairs <strong>of</strong> photographs <strong>of</strong> almost identical traffic situations, taken from a<br />
driver's perspective. Participants had to respond what their speed would be<br />
in these situations. In one <strong>of</strong> the two photographs <strong>of</strong> the same road and road<br />
environment, a latent hazard was present (most <strong>of</strong> times this was an overt<br />
latent hazards) and in the other not. Speed adaption was considered as good<br />
in one pair <strong>of</strong> photographs when the reported speed was lower in the<br />
complex situation than in the simple situation. De Craen found that older,<br />
more experienced <strong>drivers</strong> calibrated better than <strong>young</strong> <strong>novice</strong> <strong>drivers</strong>, but<br />
that in the first two years after licensing calibration skills <strong>of</strong> <strong>young</strong> <strong>novice</strong><br />
<strong>drivers</strong> did not improve over time. However, it could be that <strong>novice</strong> <strong>drivers</strong><br />
did not improve on this task, not so much <strong>of</strong> lack <strong>of</strong> improvement in<br />
calibration skills, but because they were not able to detect and recognize the<br />
latent hazards in the photographs. If the problem <strong>of</strong> <strong>novice</strong> <strong>drivers</strong> is<br />
primarily a question <strong>of</strong> poor hazard detection (the first part <strong>of</strong> the definition<br />
<strong>of</strong> hazard <strong>anticipation</strong>) or primarily a question <strong>of</strong> poor calibration (the<br />
second part <strong>of</strong> the definition <strong>of</strong> hazard <strong>anticipation</strong>) is subject <strong>of</strong> the study<br />
presented in this chapter.<br />
Finally, Wetton et al. (2010) used a completely different method applying<br />
static traffic scenes in order to measure differences in hazard perception<br />
between experienced <strong>drivers</strong> and <strong>novice</strong> <strong>drivers</strong>. In this study, a hazard<br />
perception task was developed that was based on the change detection<br />
flicker paradigm task (Rensink, O'Regan, & Clark, 1997). In this task, the<br />
display <strong>of</strong> two photographs <strong>of</strong> the same road situation but each with a<br />
different traffic situation was very rapidly continuously alternated on the<br />
screen. In one <strong>of</strong> the two photographs an imminent hazard was present and<br />
in the other not. Except for this imminent hazard the two photographs were<br />
identical. A display <strong>of</strong> a photograph lasted 480 ms. In between the display <strong>of</strong><br />
the two photographs a blank grey screen was displayed for 320 ms.<br />
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