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Verbal and Spatial Loading Effects on Eye Movements in Driving Simulators: a Comparison to Real World Driving

机译:驾驶模拟器中眼睛运动的口头和空间负载效应:与现实世界驾驶相比

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Driving simulators and eye tracking technology are increasingly being used to evaluate advanced telematics. Many such evaluations are easily generalizable only if drivers' scanning in the virtual environment is similar to their scanning behavior in real world environments. In this study we developed a virtual driving environment designed to replicate the environmental conditions of a previous, real world experiment (Recarte & Nunes, 2000). Our motive was to compare the data collected under three different cognitive loading conditions in an advanced, fixed-base driving simulator with that collected in the real world. In the study that we report, a head mounted eye tracker recorded eye movement data while participants drove the virtual highway in half-mile segments. There were three loading conditions: no loading, verbal loading and spatial loading. Each of the 24 subjects drove in all three conditions. We found that the patterns that characterized eye movement data collected in the simulator were virtually identical to those that characterized eye movement data collected in the real world. In particular, the number of speedometer checks and the functional field of view significantly decreased in the verbal conditions, with even greater effects for the spatial loading conditions.
机译:驾驶模拟器和眼睛跟踪技术越来越多地用于评估高级远程信息处理。只有当虚拟环境中的驱动程序扫描类似于其在现实世界环境中的扫描行为时,许多这样的评估才能轻松地遍历。在这项研究中,我们开发了一个虚拟驾驶环境,旨在复制前一个现实世界实验的环境条件(重新安排和Nunes,2000)。我们的动机是将在先进的固定基地驾驶模拟器中的三种不同的认知装载条件下收集的数据进行比较,其中包含在现实世界中收集的。在我们报告的研究中,一个头戴式眼罩记录了眼球运动数据,而参与者将虚拟高速公路推向半英里段。有三种装载条件:无加载,口头装载和空间加载。所有24个科目中的每一个都在所有三个条件下开车。我们发现,在模拟器中收集的特征在于模拟器的眼球运动数据的模式几乎与特征在现实世界中收集的眼球运动数据相同。特别地,在口头条件下,速度表检查的数量和功能场显着降低,对于空间负载条件,甚至更大的效果。

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