A Helping Human Hand: Relevant Scenarios for the Remote Operation of Highly Automated Vehicles in Public Transport

远程控制 可用性 计算机科学 分散注意力 多样性(控制论) 集合(抽象数据类型) 监督人 计算机安全 人机交互 政治学 生物 操作系统 人工智能 神经科学 程序设计语言 法学
作者
Carmen Kettwich,Andreas Schrank,Huseyin Avsar,Michael Oehl
出处
期刊:Applied sciences [MDPI AG]
卷期号:12 (9): 4350-4350 被引量:2
标识
DOI:10.3390/app12094350
摘要

Remote operation bears the potential to roll out highly automated vehicles (AVs, SAE Level 4) more safely and quickly. Moreover, legal regulations on highly automated driving, e.g., the current law on highly automated driving (SAE Level 4) in Germany, permit a remote supervisor to monitor and intervene in driving operations remotely in lieu of a safety operator on board AVs. In order to derive requirements for safe and effective remote driving and remote assistance of AVs and to create suitable human-centered design solutions for human-machine interfaces (HMIs) that serve this purpose, a set of 74 core scenarios that are likely to occur in public transport AVs under remote operation was compiled. The scenarios were collected in several projects on the remote operation of AVs across a variety of contexts including interviews with and observations of control center staff, video analyses from naturalistic road events, and interviews with safety operators of AVs. A hierarchical system that is based on interactions of central actors was used to structure the scenarios. The set explicates relevant cases in remote operation, which may help improve workplaces for remote operation both by combatting human factors issues such as distraction and fatigue, and by boosting usability, user experience, trust, and acceptance. As the catalogue of scenarios is not exhaustive, scenarios may be added as knowledge of the remote operation of AVs progresses. Further research is needed to validate and adapt the scenarios to specific conceptualizations of remote operations.
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