Augmented reality cues to assist older drivers with gap estimation for left-turns.
Augmented reality cues to assist older drivers with gap estimation for left-turns.
复制标题
增强现实提示可帮助老年驾驶员估计左转间隙。
DOI：
10.1016/j.aap.2014.05.020
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发表时间：
2014
期刊：
影响因子：
--
通讯作者：
Rizzo,Matthew
中科院分区：
文献类型：
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作者：
Rusch,MichelleL;SchallJr,MarkC;Lee,JohnD;Dawson,JeffreyD;Rizzo,Matthew
这项研究的目的是评估增强现实(AR)提示的效果，该提示旨在帮助患有一系列UFOV障碍的中老年司机判断何时在迎面而来的交通中左转。此前的研究表明，AR提示可以在不干扰其他驾驶任务的情况下，通过增加危险检测来帮助中老年司机应对潜在的路边危险。对于认知受损的司机来说，十字路口是一个关键的挑战，他们容易误判与迎面而来的交通联系的时间。我们调查了AR提示是否改善或干扰了年龄相关认知下降的司机在左转迎面而来的交通中的危险感知。在静态基础驾驶模拟器中实施的农村停车标志控制的十字路口场景中，64名具有UFOV损伤范围的中老年司机判断在从相反方向向司机靠近的迎面而来的交通中左转何时安全。结果用于评估AR提示效果的指标包括：接触时间(TTC)、间隔时间变异(GTV)、反应率和间隔反应变异(GRV)。所有司机都估计，在线索状态下的TTC比在非线索状态下要短。此外，司机在提示条件下的反应比在非提示条件下更频繁，在包含AR提示的情景中，所有司机的GRV都降低了。对于TTC和响应率，司机似乎也会调整他们的行为，使其与线索保持一致，特别是UFOV得分最低的司机(匹配他们的行为，使其接近中年司机)。司机评级表明，暗示并不被认为会分散注意力。此外，可靠性的各种条件(例如，15%的失误率)似乎不会影响性能或驾驶员评级。
The objective of this study was to assess the effects of augmented reality (AR) cues designed to assist middle-aged and older drivers with a range of UFOV impairments, judging when to make left-turns across oncoming traffic. Previous studies have shown that AR cues can help middle-aged and older drivers respond to potential roadside hazards by increasing hazard detection without interfering with other driving tasks. Intersections pose a critical challenge for cognitively impaired drivers, prone to misjudge time-to-contact with oncoming traffic. We investigated whether AR cues improve or interfere with hazard perception in left-turns across oncoming traffic for drivers with age-related cognitive decline. Sixty-four middle-aged and older drivers with a range of UFOV impairment judged when it would be safe to turn left across oncoming traffic approaching the driver from the opposite direction in a rural stop-sign controlled intersection scenario implemented in a static base driving simulator. Outcome measures used to evaluate the effectiveness of AR cueing included: Time-to-Contact (TTC), Gap Time Variation (GTV), Response Rate, and Gap Response Variation (GRV). All drivers estimated TTCs were shorter in cued than in uncued conditions. In addition, drivers responded more often in cued conditions than in uncued conditions and GRV decreased for all drivers in scenarios that contained AR cues. For both TTC and response rate, drivers also appeared to adjust their behavior to be consistent with the cues, especially drivers with the poorest UFOV scores (matching their behavior to be close to middle-aged drivers). Driver ratings indicated that cueing was not considered to be distracting. Further, various conditions of reliability (e.g., 15% miss rate) did not appear to affect performance or driver ratings.