第三届自动化信任研讨会:信任如何影响互动

Brittany E. Holthausen, Philipp Wintersberger, Zoe M. Becerra, Alexander G. Mirnig, Alexander Kunze, B. Walker
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引用次数: 3

摘要

正确校准对自动化的信任是成功实施自动驾驶汽车技术的关键问题。最近对涉及自动驾驶系统的事故的研究和调查表明,驾驶员难以根据系统性能标准适当调整其信任水平,这是信任校准的关键要求[7]。鉴于前几届研讨会关注的是合适的定义、测量和影响信任的因素,今年的研讨会将重点转移到以下问题上:信任如何与其他潜在的构象(如风险行为、情况意识或用户参与非驾驶相关任务的意愿)相互作用并影响它们?因此,研讨会欢迎专家和年轻的研究人员(已经或想要)在这个及时的领域进行研究,目的是制定具体的研究计划和实验设计,以缩小现有的知识差距,并允许在信任校准领域取得进一步进展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Third workshop on trust in automation: how does trust influence interaction
Properly calibrated trust in automation is a key issue for a successful implementation of automated vehicle technology. Recent research and investigation of accidents involving automated driving systems have shown that drivers have difficulties adjusting their trust levels appropriately with system performance criteria, which is a key requirement for trust calibration [7]. Whereas previous editions of this workshop have concentrated on suitable definitions, measurements, and factors influencing trust, this year's edition shifts the focus to the question: How does trust interact with and influence other latent constructs, such as risk behavior, situation awareness, or users' willingness to engage in non-driving related tasks? The workshop thereby welcomes both experts and young researchers who (already are or want to) conduct research in this timely area, with the aim of developing concrete research programs and experimental designs, that close existing knowledge gaps and allow further progress in the domain of trust calibration.
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