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首页> 外文会议>International Conference on HCI in Mobility, Transport, and Automotive Systems >Investigating Temporal Changes of Behavioral Adaptation and User Experience During Highly Automated Driving
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Investigating Temporal Changes of Behavioral Adaptation and User Experience During Highly Automated Driving

机译：在高度自动化驾驶期间调查行为适应和用户体验的时间变化

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Sleepiness and micro-sleep as a consequence of the monotony of moving in queues as well as a very stressful daily routine of truck drivers put a serious risk on traffic safety (National Transportation Safety Board 1995). The automation of heavy traffic provides an opportunity to enhance traffic safety and drivers' convenience and allows the safe use of integrated infotainment and communication systems. The research project TANGO (German abbreviation for "Technologie für automatisiertes Fahren nutzergerecht optimiert", English equivalent "Technology for autonomous driving, optimized to user needs") is funded by the German Federal Ministry of Economic Affairs and Energy. It takes place in cooperation with Robert Bosch GmbH, Volkswagen Aktien-gesellschaft, MAN Truck & Bus, University of Stuttgart and Stuttgart Media University. The project aims at improving user experience and acceptance of (highly) automated driving functions for trucks. The project focuses the user-centered development of an Attention and Activity Assistance system (AAA) which provides the truck driver with a variance of non-driving-related activities based on current traffic situation, automation level up to SAE level 3 (SAE international 2018), and the driver's current attentional state. While behavioral adaptation of drivers to the first use of highly automated systems has already been considered in a number of studies, little is known about the development of these behavioral changes over time, when familiarity with the system increases. In order to address these issues, a long term static driving simulator study will be conducted in spring 2019. The central research subject is the adaptation of drivers' behavior in take-over scenarios with low time budgets, which require an immediate reaction by the driver. The study will run from March to June, 2019. First research results will be presented at the HCI International Conference in July.
机译：由于在队列中搬迁的单调以及卡车司机的一个非常紧张的日常惯例，睡觉和微睡眠对交通安全（1995年）的严重风险产生了严重的风险繁忙的自动化提供了增强交通安全和驾驶员的便利机会，并允许安全使用综合信息娱乐和通信系统。该研究项目探戈（德国“TechnologieFür自动化的德国缩写Fahren Nutzergecht Optimiert”，英语相当于“技术的自主驾驶技术，优化到用户需求”）由德国联邦经济事务和能源部资助。它与Robert Bosch GmbH，Volkswagen Aktien-Gesellschaft，Man Cruck＆Bus，斯图加特大学和斯图加特媒体大学合作进行。该项目旨在提高用户体验和接受卡车的（高度）自动驾驶功能。该项目侧重于用户中心的关注和活动援助系统（AAA）的开发，该系统提供了基于当前交通状况的非驾驶相关活动方差，自动化水平达到SAE等级3（SAE International 2018 ），驾驶员目前的注意力。虽然在许多研究中已经考虑了对第一次使用高度自动化系统的驾驶员的行为适应，但是当熟悉系统增加时，这些行为变化的发展几乎都知道。为了解决这些问题，将在2019年春季进行长期静态驾驶模拟器研究。中央研究主题是对具有低时间预算的驾驶员行为的适应，这需要驾驶员立即反应。该研究将于2019年3月至6月营业。首先将在7月份的HCI国际会议上展示。

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