Abstract
Future motor vehicles will provide the driver with advanced information systems displaying potentially complex information. This has led to concerns over the amount of graphical information which can be safely presented to a driver. This paper describes an experimental study to derive measures of graphical complexity. This was done within the context of a driving task, using experimental stimuli similar to existing in-vehicle navigation and route guidance displays. The basic experimental approach involved generating stimuli which were hypothesised to vary considerably in complexity. From these stimuli a number of subjective and objective measures of complexity were hypothesised and calculated. Each of these measures was then correlated with human performance data from laboratory experiments, to determine if a statistically significant relationship existed between the measure and the data. The results of the analysis indicated several significant relationships and it was concluded that several of the hypothesised measures of complexity showed promise as predictors of human performance.
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