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These findings should facilitate developing a multimodality integrated crash alert approach for vehicles equipped with multiple crash avoidance systems.

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A challenge in presenting augmenting information in outdoor augmented reality (AR) settings lies in the broad range of uncontrollable environmental conditions that may be present, specifically large-scale fluctuations in natural lighting and wide variations in likely backgrounds or objects in the scene. In this paper, we present a active AR testbed that samples the user's field of view, and collects outdoor illuminance values at the participant's position. The main contribution presented herein is a user-based study (conducted using the testbed) that examined the effects on user performance of four outdoor background textures, four text colors, three text drawing styles, and two text drawing style algorithms for a text identification task using an optical, see-through AR system. We report significant effects for all these variables, and discuss design guidelines and ideas for future work.

Drivers' engagement in mobile device subtasks varies by driving context. The SCE risk associated with mobile device use is dependent on the types of subtasks performed and the driving context. The findings of this exploratory study can be applied to the design of driver-vehicle interfaces that mitigate distraction by preventing visual-manual subtasks while driving.