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Conduite complètement automatisée : acceptabilité, confiance et apprentissage de la reprise de contrôle manuel

机译:全自动驾驶:可接受性,信心和手动学习接管

摘要

Fully automated cars could possibly be on the road in the decades to come. They will allow drivers to be driven by an informatics system in their own vehicle. Such an innovation could lead to a revolution that would change the driver’s status and its activities during the trips, but also the infrastructure, freight, some professions, etc. Nowadays, these vehicles are not available for sale yet, and it is difficult to forecast accurately when they will be, and also what their features will be. Considering this, one of the aims of the present thesis is to examine to what extend fully automated driving will be accepted. Even though the driver is driven by its vehicle, he could have to resume manual control in different circumstances. Indeed, this maneuver could be performed in an emergency or in an anticipated situation while he could be engaged in a non-driving related activity. Performing a manual control recovery could be more or less difficult according to the situation and the experience with the fully automated system. The way this maneuver could be learned by drivers has been examined, testing the impact of different kinds of training on performance and safety (response time and control recovery quality). Acceptability, trust, drivers’ attitudes, intentions to use the fully automated driving system and the impact of these variables on behaviors inside the vehicle have been assessed.Three empirical studies have been realized. The first one, based on two pilot studies, is an online survey (N= 421, 36% of males) assessing attitudes toward fully automated driving, a priori acceptability and intentions of use. This specific driving could require new skills to perform manual control recovery. Hence, learning has become an important point of the second study problematic. This second study (N= 69, 54% of males) has been conducted in a driving simulator on a highway. Attitudes have been measured before and after interacting with this technology. Drivers’ behaviors during the interaction with the fully automated driving system have also been examined. The effect of two kinds of practice (simple vs. elaborated) of fully automated driving on manual control recovery (response times) have been analyzed. Several manual control recovery situations have been tested: some of them were unexpected and urgent, some of them were anticipated. Results showed that the effect of overtrust, increasing response time in the emergency situation, could be moderated for drivers who followed the elaborated practice condition. The aims of the third study are to increase the knowledge one the way to learn how to use fully automated driving, most notably manual control recovery, and to examine the impact of a non-driving related task performing on that maneuver in an emergency situation. Participants (N= 113, 49% of males) have been distributed among two training conditions (simple vs. elaborate), and among two non-driving related task performing conditions (with vs. without). The simple training condition involves a short practice of fully automated driving. The elaborate training condition involves the explanation of the underlying features of the system with a text, a demonstration video, and a practice with more interactions than the simple training condition. After a 20 minutes run, trust, acceptability, attitudes and intentions to use the system have been measured. Elaborated training improved emergency manual control recovery in case of emergency (shorter response times, and greater pedal-use accuracy). Performing a non-driving related task increased response times, but did not significantly impact pedal-use accuracy. Eventually, elaborated training contributed to moderate overtrust in the system.Results of these three studies are discussed. The training methods that have been developed could help training the new users of that technology. Driver status in this kind of vehicle, as well as the nature of the driving task, are debated. Finally, the limits of the studies and perspectives for future research in the field are examined.
机译:在未来的几十年中,全自动汽车可能会问世。它们将允许驾驶员在自己的车辆中由信息系统驱动。这样的创新可能会导致一场革命,这场革命将改变驾驶员的身份及其在旅途中的活动,而且还会改变基础设施,货运,某些专业等。如今,这些车辆尚无法销售,并且很难预测准确地知道它们何时会出现以及它们的功能会如何。考虑到这一点,本论文的目的之一是研究将全自动驾驶接受到何种程度。即使驾驶员由其车辆驾驶,他也可能必须在不同情况下恢复手动控制。确实,该动作可以在紧急情况下或在预期情况下进行,而他可以从事与非驾驶相关的活动。根据情况和全自动系统的经验,执行手动控制恢复可能会或多或少困难。已经研究了驾驶员可以学会这种操作的方式,测试了各种培训对性能和安全性(响应时间和控制恢复质量)的影响。评估了可接受性,信任度,驾驶员的态度,使用全自动驾驶系统的意图以及这些变量对车辆内部行为的影响。已实现了三个实证研究。第一项基于两项先导研究,是一项在线调查(N = 421,男性的36%),评估对全自动驾驶的态度,先验可接受性和使用意图。这种特定的驾驶可能需要新技能来执行手动控制恢复。因此,学习已成为有问题的第二学习的重点。第二项研究(N = 69,占男性的54%)是在高速公路上的驾驶模拟器中进行的。在与该技术进行交互之前和之后,已经测量了态度。还检查了驾驶员在与全自动驾驶系统交互过程中的行为。分析了全自动驾驶的两种实践(简单与复杂)对手动控制恢复(响应时间)的影响。已经测试了几种手动控制恢复情况:其中一些是意外和紧急的,某些是预期的。结果表明,对于遵循详细实践条件的驾驶员,过度信任的效果会有所缓解,从而增加了紧急情况下的响应时间。第三次研究的目的是增加知识,使之成为一种学习如何使用全自动驾驶(尤其是手动控制恢复)的方法,并研究在紧急情况下非驾驶相关任务对该动作的影响。参与者(N = 113,占男性的49%)已分配到两个训练条件(简单vs.精细)和两个非驾驶相关任务执行条件(有或没有)中。简单的训练条件涉及全自动驾驶的简短实践。详尽的培训条件包括使用文本,演示视频和比简单培训条件更多互动的实践来解释系统的基本功能。运行20分钟后,已测量了使用该系统的信任度,可接受性,态度和意图。精心的培训可改善紧急情况下的紧急手动控制恢复(更短的响应时间和更高的踏板使用精度)。执行非驾驶相关任务会增加响应时间,但不会显着影响踏板的使用准确性。最终,精心设计的培训导致了系统中的过度信任。讨论了这三项研究的结果。已经开发出的培训方法可以帮助培训该技术的新用户。对这种车辆的驾驶员身份以及驾驶任务的性质进行了辩论。最后,考察了研究的局限性和该领域未来研究的前景。

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    Payre William;

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  • 年度 2015
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