Knowledge
and Driving
In order to improve
the ability to predict involvement in collisions and to minimise the
number of crashes, it is important to identify those drivers who
require additional practise. In the past, knowledge (learning of facts)
was regarded as a basic requirement for driving a vehicle. Authorities
relied on exams that tested the driver's level of knowledge and not
his/her abilities, i.e. the driver's speed of perception, decision -
making abilities or his/her ability to act on those decisions. In the
past, it was also thought that some people are just born to have
crashes, but in fact, such a trait was not found to exist. On the other
hand, thinking patterns leading to involvement in crashes were
identified. This concept was examined in relation to experienced
drivers, men and women of various ages, by means of examining their
information processing abilities, with an emphasis on their ability to
do more than one thing at a time.
Divided
Attention and Collisions
Test results were
correlated to the number of crashes in which the drivers were recently
involved. Results indicated a clear relationship between drivers'
errors in directing their attention (the ability to go from one task to
another with minimum effort and minimum decrease in performance) and
their involvement in crashes.
Training
Attention
Researchers argue
that proper practising of attention capabilities or other capabilities,
first in an artificial context and later in real - time settings, will
bring about a gradual improvement in those abilities. The idea is to
cause mental processes that require effort, to gradually become easier
and more skilful. People who do this practise, will be able to make
their attention processes more automatic and efficient relative to
their starting point.
Based on:
Avolio, B.J. (State University of New York), Galen Kroeck, K. (Florida
International University), & Panek P.E. (Eastern Illinois
University) (1985). Individual differences in information - processing
ability as a predictor of motor vehicle accidents. Human Factors. Vol.
27(5), pp. 577 - 587