Abstract
Although originally developed for aircraft use, head-up displays (HUDs) have found application in automobiles recently. A system for evaluating automotive HUDs has been developed which is based on the double task method and takes into account driving conditions. Seven kinds of correct response rates (CRRs) are defined as the evaluation standards. Using various kinds of HUDs, evaluations are made focussing on the relationship between the fineness of the image and the distance from the driver’s eyes to the image. It can be concluded that the task of reading the HUD image has little effect on recognition of the forward view and is closely related to peripheral vision. This paper also discusses a new merit index derived from the CRRs, which can be used as a measure of HUD performance. The results suggest there is an optimal image fineness and distance to the HUD image.
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