In this study, the authors compare the effect of factors with multivariate analysis and illustrate a 'Detection map' that represents the properties of detection by way of quantitative trials. As a result, the following factors contributing to reduced detection performance became clear. Error rate: There are many conspicious errors when a small target is presented away from the center with a dot texture for a background. Detection time: Detection time increases in each of the following cases: target presented at 70 from the horizontal, presentation of size-change (above all, a low rate of size-change or change seen in the case of approaching a target), smaller targets, or a dot texture for a background. The authors examine a method to determine drivers' properties to detect visual targets and investigate the influence of some external physical factors as an example of its application. However, in order to apply this method to a real-life environment, they have to be more complete and have more information on factors and parameters. Specifically, one has to add target or background brightness, complexity of background and target shape as explanatory variables, and increase the level of each variable or set the explanatory variable with consecutive quantities in order to improve the reliability of the investigation. It is important to inspect the accuracy of the data collected, such as the detection times, in circumstances closer to those of the real world. The authors also have to consider the drivers' internal factor that the relation between the fixation point and 'attended direction' is also included in driving situations. The authors assume that causes or situations that were likely to cause errors or delayed detection by drivers would be clarified by estimating the detection performance in the spatial dimension from the combination of these factors. It could then contribute to the examination of measures to decrease the number of accidents in collisions with pedestrians whose are relatively small compared to a car.
Investigation into properties of drivers' visual detection
Review of Automotive Engineering (JSAE) ; 31 , 1 ; 77-83
2010
7 Seiten, 12 Bilder, 2 Tabellen, 4 Quellen
Aufsatz (Zeitschrift)
Englisch
Investigation into Properties of Drivers Visual Detection
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