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首页> 外文会议>International Conference on HCI in Mobility, Transport, and Automotive Systems;International Conference on Human-Computer Interaction >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：研究高度自动驾驶过程中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：排队移动的单调性导致的困倦和微睡以及卡车司机的日常压力很大，这给交通安全带来了严重的风险（National Transportation Safety Board 1995）。繁忙交通的自动化为提高交通安全性和驾驶员便利性提供了机会，并允许安全使用集成的信息娱乐和通信系统。 TANGO（德国缩写为“ Technologiefürautomatisiertes Fahren nutzergerecht optimiert”，英文等效为“针对用户需求而优化的自动驾驶技术”）的研究项目由德国联邦经济和能源部资助。它与Robert Bosch GmbH，大众Aktien-gesellschaft，MAN卡车和客车，斯图加特大学和斯图加特媒体大学合作进行。该项目旨在改善用户体验并接受卡车的（高度）自动驾驶功能。该项目着重于以用户为中心的注意力和活动辅助系统（AAA）的开发，该系统根据当前的交通状况为卡车驾驶员提供与非驾驶相关的各种活动，自动化级别达到SAE 3级（SAE international 2018） ），以及驾驶员当前的注意状态。尽管在许多研究中已经考虑了驾驶员对首次使用高度自动化系统的行为进行适应，但是随着对系统的熟悉程度的提高，这些行为随时间的变化发展情况鲜为人知。为了解决这些问题，将于2019年春季进行长期静态驾驶模拟器研究。中心研究主题是在预算少的接管情况下适应驾驶员的行为，这需要驾驶员立即做出反应。 。这项研究将于2019年3月至6月进行。首项研究结果将在7月的HCI国际会议上发表。

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