首页> 外文会议>2017 IEEE Conference on Cognitive and Computational Aspects of Situation Management >Rightward attentional bias in windshield displays: Implication towards external human machine interfaces for self-driving cars
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Rightward attentional bias in windshield displays: Implication towards external human machine interfaces for self-driving cars

机译:挡风玻璃显示屏上的右眼注意偏差:对自动驾驶汽车外部人机界面的影响

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The current paper describes research, examining the daytime lighting requirements for windshield based human machine interface (HMI) components of self-driving cars or highly autonomous vehicles (HAVs). The results of this study showed a significant rightward attentional bias in the detection of amber LEDs at low luminosity levels. The rightward bias persists at different viewing angles. However, this bias is absent for white LEDs. These results support the Saliency-Effort-Expectancy-Value (SEEV) model [12] of selective attention. These results highlight that priority should be given to the driver side for placement of critical external HMI components, especially those with lower perceptual saliency.
机译:当前的论文描述了研究,研究了自动驾驶汽车或高度自动驾驶汽车(HAV)的基于挡风玻璃的人机界面(HMI)组件的日间照明要求。这项研究的结果表明,在低发光度水平的琥珀色LED的检测中,注意力偏向明显。向右偏斜在不同的视角持续存在。但是,白光LED不存在这种偏差。这些结果支持选择性关注的“显着性-努力-期望值”(SEEV)模型[12]。这些结果表明,应优先考虑在驱动器端放置关键的外部HMI组件,尤其是那些具有较低感知显着性的组件。

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