面向自动驾驶的高水平综合舒适性模型

Veronika Domova, Rebecca M. Currano, D. Sirkin
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引用次数: 0

摘要

尽管现有的关于自动驾驶舒适性研究的文献非常广泛,但尚未提出包含主要舒适性影响因素及其相互关系的综合模型。在这项工作中,我们进行了文献综述,并得出了直接影响驾驶员舒适度的自动化相关因素。这6组因素包括驾驶环境、车辆和自动化,以及用户的活动、个性和对系统的理解。然后,我们在一个包含环境、车辆和用户相关类别的模型中构建这些分类。由此产生的框架支持构建关于自动化舒适性的研究问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Toward a High-Level Integrative Comfort Model in Autonomous Driving
Although the extant literature on comfort in the autonomous driving research is extensive, no integrative model has been proposed that includes major comfort-influencing factors and their interrelations. In this work, we conduct a literature review and elicit automation-related factors that directly influence a driver’s comfort. The 6 groups of factors include the driving environment, vehicle and automation, and the user’s activity, personality, and understanding of the system. We then structure these in a model comprising environment-, vehicle-, and user-related categories. The resulting framework supports framing research questions about comfort in automation.
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