The Effects of Augmented Reality Head-Up Displays on Drivers' Eye Scan Patterns, Performance, and Perceptions
The Effects of Augmented Reality Head-Up Displays on Drivers' Eye Scan Patterns, Performance, and Perceptions
复制标题
增强现实平视显示器对驾驶员眼睛扫描模式、表现和感知的影响
DOI：
10.4018/ijmhci.2017040101
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
Nadejda Doutcheva
中科院分区：
文献类型：
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作者：
Missie Smith;Joseph L. Gabbard;G. Burnett;Nadejda Doutcheva
本文报道了一项在模拟器中驾驶时比较平视显示平显和平视显示硬盘使用的实验，以探索在扫视模式、驾驶性能和用户偏好方面的差异。16名参与者在高速公路环境中跟随领头车辆，在每个显示器上完成结构化文本和半结构化网格视觉搜索任务。参与者在每个视觉搜索任务中经历了低、中、高三个复杂程度，每个复杂程度重复五次。结果表明，网格任务对不同的视觉需求不够敏感，而文本任务在用户偏好、感知工作量和分心方面表现出显著的差异。随着复杂性的增加，在文本任务期间使用HUD与使用HDD相比性能更快，这表明在驾驶环境中使用HUD具有潜在的好处。此外，与HDD相比，HUD的使用与各自显示器的持续注视时间更长相关，驾驶性能没有观察到差异。这一发现表明，AR HUD可以进行更长时间的扫视，而不会对车辆的纵向和横向控制产生负面影响--这一结果对未来的研究人员应该如何评估AR HUD的视觉需求具有一定的意义。
This paper reports on an experiment comparing Head-Up Display HUD and Head-Down Display HDD use while driving in a simulator to explore differences in glance patterns, driving performance, and user preferences. Sixteen participants completed both structured text and semi-structured grid visual search tasks on each display while following a lead vehicle in a motorway highway environment. Participants experienced three levels of complexity low, medium, high for each visual search task, with five repetitions of each level of complexity. Results suggest that the grid task was not sensitive enough to the varying visual demands, while the text task showed significant differences between displays in user preference, perceived workload, and distraction. As complexity increased, HUD use during the text task corresponded with faster performance as compared to the HDD, indicating the potential benefits when using HUDs in the driving context. Furthermore, HUD use was associated with longer sustained glances at the respective display as compared to the HDD, with no differences in driving performance observed. This finding suggests that AR HUDs afford longer glances without negatively affecting the longitudinal and lateral control of the vehicle-a result that has implications for how future researchers should evaluate the visual demands for AR HUDs.