An overview of occlusion versus driving simulation for assessing the visual demands of in-vehicle user-interfaces
An overview of occlusion versus driving simulation for assessing the visual demands of in-vehicle user-interfaces
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用于评估车载用户界面视觉需求的遮挡与驾驶模拟的概述
DOI：
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
G. Burnett
中科院分区：
文献类型：
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作者：
D. Large;G. Burnett
视觉遮挡和驾驶模拟是汽车研究界广泛使用的研究驾驶员分心的实验方法。这两种方法都是安全和简单的管理，产生强大的，敏感的和可重复的数据，并已被驾驶员分心标准/指南（例如ISO，2010; NHTSA，2013）认可。然而，仍然有一些争论的优点，每一个，特别是关于他们的能力，以引起真实的视觉行为，与从业者保持自己的个人喜好。我们提出了一个概述和比较，每种技术，在评估的背景下，车载界面的视觉需求。该评论，支持文献和广泛的研究在诺丁汉大学进行的，表明，无论是技术是有效的预测相对的视觉需求所创造的车载用户界面。尽管如此，遮挡方法提供了几个优于驾驶模拟的优点，因为它不需要昂贵的辅助设备，主要（视觉）任务负载是高度控制的（因此在测试时最小化驾驶员之间变化的影响），并且在实施和遵守协议时涉及低努力/成本。此外，我们引入了部分遮挡范例作为一种新的增强遮挡测试模仿，从而了解周边视觉的影响时，与车载设备。
Visual occlusion and driving simulation are experimental methods widely used by the automotive research community to investigate driver distraction. Both methods are safe and straightforward to administer, producing robust, sensitive, and repeatable data, and have been recognised by driver distraction standards/guidelines (e.g. ISO, 2010; NHTSA, 2013). However, there remains some debate regarding the merits of each, particularly concerning their ability to elicit authentic visual behaviour, with practitioners maintaining their individual preferences. We present an overview and comparison of each technique, in the context of assessing the visual demands of in-vehicle interfaces. The review, supported by literature and extensive studies conducted at the University of Nottingham, suggests that either technique is valid for predicting the relative visual demands created by in-vehicle user-interfaces. Nevertheless, the occlusion method offers several advantages over driving simulation, as it requires no expensive, ancillary equipment, primary (visual) task load is highly controlled (thus minimising the effect of between-driver variability while testing), and low effort/cost is involved in implementing and complying with the protocol. In addition, we introduce the partial occlusion paradigm as a novel enhancement to occlusion testing to mimic, and thus understand, the effects of peripheral vision when interacting with in-vehicle devices.