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Towards Cooperative Driving: Involving the Driver in an Autonomous Vehicle's Decision Making 迈向合作驾驶:让驾驶员参与自动驾驶汽车的决策
Marcel Walch, Tobias Sieber, Philipp Hock, M. Baumann, M. Weber
Although there are already fully autonomous vehicles on the roads for testing purposes, a rollout is far away. Autonomous vehicles are still not able to handle everyday driving and remain reliant on the driver when they reach their system limitations. One suggested approach to this problem is handing over the control entirely to the driver, which might become annoying when such situations occur frequently. In contrast, we suggest the usage of cooperative interfaces to avoid full handovers in situations in which the system needs the driver, for instance to approve or monitor a specific maneuver. A driving simulator study with 32 participants revealed that they felt comfortable choosing how the system should handle a situation. They reportedly assessed the situations first instead of relying blindly on the system and were able to handle every situation safely. We report lessons learned regarding cooperative interaction and interfaces, and their in-lab evaluation.
尽管目前已经有全自动驾驶汽车在路上进行测试,但要真正投入使用还很遥远。自动驾驶汽车仍然无法处理日常驾驶,当它们达到系统极限时,仍然依赖于驾驶员。解决这个问题的一种建议方法是将控制权完全交给司机,当这种情况频繁发生时,这可能会变得令人讨厌。相反,我们建议使用协作接口,以避免在系统需要驾驶员的情况下完全切换,例如批准或监视特定的操作。一项有32名参与者参与的驾驶模拟器研究显示,他们在选择系统如何处理某种情况时感到很自在。据报道,他们没有盲目依赖系统,而是首先评估了情况,能够安全地处理每一种情况。我们报告了关于合作交互和接口的经验教训,以及它们在实验室中的评估。
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引用次数: 74
On the Visual Distraction Effects of Audio-Visual Route Guidance 视听路线引导的视觉干扰效应研究
T. Kujala, Hilkka Grahn, Jakke Mäkelä, A. Lasch
This is the first controlled quantitative analysis on the visual distraction effects of audio-visual route guidance in simulated, but ecologically realistic driving scenarios with dynamic maneuvers and self-controlled speed (N = 24). The audio-visual route guidance system under testing passed the set verification criteria, which was based on drivers' preferred occlusion distances on the test routes. There were no significant effects of an upcoming maneuver instruction location (up, down) on the in-car display on any metric or on the experienced workload. The drivers' median occlusion distances correlated significantly with median in-car glance distances. There was no correlation between drivers' median occlusion distance and intolerance of uncertainty but significant inverse correlations between occlusion distances and age as well as driving experience were found. The findings suggest that the visual distraction effects of audio-visual route guidance are low and provide general support for the proposed testing method.
本文首次在模拟但生态真实的动态机动、自控速度驾驶场景(N = 24)中,对视听路线引导的视觉分散效果进行了受控定量分析。测试的视听路径引导系统通过了设定的验证标准,该标准基于驾驶员在测试路线上的首选遮挡距离。即将到来的机动指令位置(上、下)对车内显示的任何指标或经验负载都没有显着影响。驾驶员遮挡距离中位数与车内扫视距离中位数显著相关。驾驶员的中位遮挡距离与不确定性容忍度无相关性,但遮挡距离与年龄、驾驶经验呈显著负相关。研究结果表明,视听路线引导的视觉干扰效果较低,为所提出的测试方法提供了一般支持。
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引用次数: 8
A Comparison of Scent-Delivery Devices and Their Meaningful Use for In-Car Olfactory Interaction 气味传递装置的比较及其在车内嗅觉交互中的有意义应用
D. Dmitrenko, C. Vi, Marianna Obrist
In the field of Human Computer Interaction (HCI), vision and audition have been the dominating modalities for interacting with users. This is despite the fact that humans are equipped with five basic senses. Because of this, there is a limited number of tools that harness the olfactory system as a communication channel. Recently, several promising scent-delivery devices have been developed, however, there is a lack of guidance on how to use them in a meaningful way for different interactive tasks. In this paper, we propose a three-dimensional framework to compare different scent-delivery devices based on the distance, volume, and speed of the scent-delivery. We discuss how this initial exploration can guide the design of in-car olfactory interfaces beyond previous work on drivers' physical and emotional state.
在人机交互(HCI)领域,视觉和听觉一直是与用户交互的主要方式。尽管人类有五种基本的感官。正因为如此,利用嗅觉系统作为交流渠道的工具数量有限。最近,一些有前途的气味传递设备已经被开发出来,然而,缺乏关于如何以有意义的方式将它们用于不同交互任务的指导。在本文中,我们提出了一个基于气味传递距离、体积和速度的三维框架来比较不同的气味传递装置。我们讨论了这一初步探索如何能够超越以往对驾驶员身体和情绪状态的研究,指导车内嗅觉界面的设计。
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引用次数: 31
CoastMaster
Fabius Steinberger, Patrick Proppe, R. Schroeter, Florian Alt
We present CoastMaster, a smartphone application that serves as an ambient speedometer and driving game display. Our work is motivated by the need to re-engage drivers in the driving task, e.g., in situations where manoeuvering the vehicle is straightforward and does not require high levels of engagement. CoastMaster supports drivers during speed limit changes by (a) re-engaging them in the driving task, and; (b) providing feedback on driving behaviour. In a simulator study (N=24), we compare a gamified and a non-gamified interface with regards to user experience, driving performance, and visual distraction. Our results indicate an increase in hedonic quality and driver engagement as well as a decrease in speed violations through the gamified condition. At the same time, the gamified version leads to longer glances towards the display suggesting visual distraction. Our study findings inform specific design recommendations for ambient interfaces and gamified driving.
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引用次数: 25
Autonomous Driving in the Real World: Experiences with Tesla Autopilot and Summon 现实世界中的自动驾驶:Tesla Autopilot和Summon的体验
Murat Dikmen, C. Burns
As autonomous driving emerges, it is important to understand drivers' experiences with autonomous cars. We report the results of an online survey with Tesla owners using two autonomous driving features, Autopilot and Summon. We found that current users of these features have significant driving experience, high self-rated computer expertise and care about how automation works. Surprisingly, although automation failures are extremely common they were not perceived as risky. The most commonly occurring failures included the failure to detect lanes and uncomfortable speed changes of the vehicle. Additionally, a majority of the drivers emphasized the importance of being alert while driving with autonomous features and aware of the limitations of the current technology. Our main contribution is to provide a picture of attitudes and experiences towards semi-autonomous driving, revealing that some drivers adopting these features may not perceive autonomous driving as risky, even in an environment with regular automation failures.
随着自动驾驶的出现,了解驾驶员使用自动驾驶汽车的体验非常重要。我们报告了一项针对特斯拉车主的在线调查结果,该调查使用了自动驾驶仪和召唤这两个自动驾驶功能。我们发现,目前使用这些功能的用户拥有丰富的驾驶经验、较高的自评计算机专业知识,并且关心自动化的工作方式。令人惊讶的是,尽管自动化故障非常普遍,但它们并没有被视为有风险。最常见的故障包括无法检测车道和车辆不舒服的速度变化。此外,大多数司机强调了在驾驶自动驾驶功能时保持警惕的重要性,并意识到当前技术的局限性。我们的主要贡献是提供了对半自动驾驶的态度和体验,揭示了一些采用这些功能的驾驶员可能不会认为自动驾驶有风险,即使是在经常发生自动驾驶故障的环境中。
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引用次数: 119
Head-Up vs. Head-Down Displays: Examining Traditional Methods of Display Assessment While Driving 平视与平视显示器:检查传统的驾驶时显示器评估方法
Missie Smith, Joseph L. Gabbard, Christian Conley
Technological advances in Head-Up Displays (HUDs) have renewed vehicle manufacturer interest. Recent research links time with eyes off of the road to increased chance of accidents, a problem that could be diminished when using HUDs. Before HUDs can be safely integrated, there must be proven methods of assessing these displays. NHTSA established guidelines for assessing in-vehicle tasks; however, these have not been examined with HUDs, differ from traditional Head-Down Displays (HDDs). This study followed most of the NHTSA guidelines for the Eye Glance Test for a visual text search task while tracking driving and secondary task performance measures. The HUD performed worse on the NHTSA eye glance test than the HDD did; however, the driving performance measures were superior when driving with the HUD. There were no significant differences in the secondary task performance between the two displays. Therefore, the NHTSA standard may not adequately assess HUDs in vehicles.
平视显示器(hud)的技术进步重新激起了汽车制造商的兴趣。最近的研究表明,开车时眼睛离开道路会增加事故发生的几率,而使用hud可以减少这个问题。在hud可以安全集成之前,必须有经过验证的评估这些显示器的方法。NHTSA制定了评估车内任务的指导方针;然而,与传统的头戴式显示器(hdd)不同,这些还没有在hud上进行过测试。这项研究遵循了NHTSA关于视觉文本搜索任务的眼神测试的大部分指导方针,同时跟踪驾驶和次要任务的表现措施。HUD在NHTSA的眼神测试中表现不如HDD;然而,当驾驶HUD时,驾驶性能指标优越。两种显示器在次要任务表现上没有显著差异。因此,NHTSA标准可能无法充分评估车辆的hud。
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引用次数: 40
A Question of Trust: An Ethnographic Study of Automated Cars on Real Roads 信任问题:对真实道路上自动驾驶汽车的人种学研究
Jiin Lee, Naeun Kim, C. Imm, Beomjun Kim, K. Yi, Jinwoo Kim
Recent technological advances in automated cars have brought them closer to regular use on the roads. Accordingly, research on the driver's perspective is increasing. However, previous studies have limitations in terms of the length of the study period and richness of the user's experience. In this paper, we conducted an ethnographic experiment to observe the interaction between humans and automated cars. Six participants rode in a prototype automated car on a real road one hour a day for six days under various weather conditions. We found that even after six days of utilizing it, participants did not fully trust the automated car. We identified nine distrust factors that strongly influenced their experiences in the automated car, classifying them according to Lee and See's classification of three trust categories: process, performance, and purpose. We also present serval ideas based on the study results.
最近自动驾驶汽车的技术进步使它们更接近于在道路上的常规使用。因此,对驾驶员视角的研究也越来越多。然而,以往的研究在研究周期的长短和用户体验的丰富程度方面存在局限性。在本文中,我们进行了一个民族志实验来观察人类与自动驾驶汽车之间的互动。六名参与者在不同的天气条件下,每天一小时在真实的道路上驾驶一辆原型自动驾驶汽车,持续六天。我们发现,即使在使用了六天之后,参与者也没有完全信任自动驾驶汽车。我们确定了九个强烈影响他们在自动驾驶汽车中的体验的不信任因素,并根据Lee和See对三个信任类别的分类:过程、性能和目的对它们进行了分类。本文还根据研究结果提出了几点看法。
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引用次数: 27
Proceedings of the 8th International Conference on Automotive User Interfaces and Interactive Vehicular Applications 第八届汽车用户界面与交互式车辆应用国际会议论文集
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引用次数: 6
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Proceedings of the 8th International Conference on Automotive User Interfaces and Interactive Vehicular Applications
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