Department of Traffic and Engineering Psychology, TU Braunschweig, Gaußstraße 23, 38106, Braunschweig, Germany.
Behav Res Methods. 2011 Jun;43(2):537-47. doi: 10.3758/s13428-010-0054-8.
An evaluation method called the Signal Evaluation Environment (SEE) was developed for use in the early stages of the design process of peripheral warning signals while driving. Accident analyses have shown that with complex driving situations such as intersections, the visual scan strategies of the driver contribute to overlooking other road users who have the right of way. Salient peripheral warning signals could disrupt these strategies and direct drivers' attention towards these road users. To select effective warning signals, the SEE was developed as a laboratory task requiring visual-cognitive processes similar to those used at intersections. For validation of the SEE, four experiments were conducted using different stimulus characteristics (size, colour contrast, shape, flashing) that influence peripheral vision. The results confirm that the SEE is able to differentiate between the selected stimulus characteristics. The SEE is a useful initial tool for designing peripheral signals, allowing quick and efficient preselection of beneficial signals.
一种名为信号评估环境（SEE）的评估方法是为驾驶时外围警告信号设计过程的早期阶段开发的。事故分析表明，在交叉口等复杂驾驶情况下，驾驶员的视觉扫描策略可能导致忽略具有先行权的其他道路使用者。突出的外围警告信号可能会破坏这些策略，并引导驾驶员注意这些道路使用者。为了选择有效的警告信号，开发了 SEE 作为实验室任务，需要类似于交叉口使用的视觉认知过程。为了验证 SEE，使用了不同的刺激特征（大小、颜色对比度、形状、闪烁）进行了四项实验，这些特征会影响外围视觉。结果证实，SEE 能够区分所选刺激特征。SEE 是设计外围信号的有用初始工具，可快速有效地预选有益信号。
