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Assisting the older driver - SWOV

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Effects of intersection design on workload and driving performance<br />

To measure workload, a secondary task was introduced. This secondary task<br />

consisted of a peripheral detection task (PDT; see e.g., Van Winsum, Martens<br />

& Herland, 1999); a task that is based on <strong>the</strong> idea that <strong>the</strong> functional visual<br />

field decreases with increasing workload. Performance on this task was<br />

inferred from <strong>the</strong> reaction time of <strong>the</strong> <strong>driver</strong> and <strong>the</strong> fraction of signals that<br />

<strong>the</strong>y missed. Increases in <strong>the</strong> difficulty of <strong>the</strong> primary task (i.e., passing an<br />

intersection) were expected to result in higher reaction times and fractions<br />

missed.<br />

Primary task performance was inferred from crashes, route‐errors, and safety<br />

of <strong>the</strong> participant’s decisions. The latter was measured by <strong>the</strong> extent to which<br />

traffic that had right of way had to decelerate when <strong>the</strong> participant was<br />

passing an intersection. Deceleration of <strong>the</strong>se ‘o<strong>the</strong>r vehicles’ was considered<br />

to be <strong>the</strong> precursor of a crash. If <strong>the</strong> <strong>driver</strong>s of those vehicles would not have<br />

reacted, a crash would have taken place. As such, <strong>the</strong> deceleration of o<strong>the</strong>r<br />

vehicles is <strong>the</strong> ‘compensatory action by o<strong>the</strong>rs’ that is mentioned in Fuller’s<br />

model (2001) as <strong>the</strong> factor that can prevent crashes from happening in case<br />

capabilities of a <strong>driver</strong> are lower than <strong>the</strong> driving task demands in that<br />

particular situation.<br />

A second aim of this study was to identify those intersection characteristics<br />

that discriminate between <strong>the</strong> performance of <strong>older</strong> and younger <strong>driver</strong>s.<br />

Therefore, both <strong>older</strong> (70 years and <strong>older</strong>) and younger persons (30‐50 years<br />

old) were invited to participate in <strong>the</strong> experiment. The age boundaries of <strong>the</strong><br />

first group were chosen as a compromise between <strong>the</strong> preferred group of<br />

people aged 75 and above – <strong>the</strong> group of <strong>older</strong> adults that has a fatality rate<br />

which is higher than average (OECD, 2001; <strong>SWOV</strong>, 2005) – and <strong>the</strong><br />

availability of participants of a certain age. The group of people aged 30‐50<br />

was chosen as <strong>the</strong> comparison group. People of this age group were expected<br />

to have considerable driving experience and not yet to be confronted with<br />

functional limitations. Realizing that ageing is a process that does not start at<br />

<strong>the</strong> same age for every person nor continues at <strong>the</strong> same rate, with <strong>the</strong> result<br />

that <strong>driver</strong>s having <strong>the</strong> same age – as in years since birth – can differ in <strong>the</strong><br />

number and severity of <strong>the</strong>ir functional limitations, age was both considered<br />

chronologically and functionally (for a discussion on <strong>the</strong> prediction of<br />

functional age see Birren & Renner, 1977, p. 15‐17). Functional age was based<br />

on scores on three tests of cognitive functioning, relating to reaction time,<br />

selective attention, and visual‐motor coordination. Persons scoring well on<br />

<strong>the</strong> average of all tests were considered to be functionally younger, whereas<br />

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