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Comfort or Not? Automated Driving Style and User Characteristics Causing Human Discomfort in Automated Driving
International Journal of Human-Computer Interaction ( IF 4.7 ) Pub Date : 2021-01-01 , DOI: 10.1080/10447318.2020.1860518
Andre Dettmann 1 , Franziska Hartwich 2 , Patrick Roßner 1 , Matthias Beggiato 2 , Konstantin Felbel 1 , Josef Krems 2 , Angelika C. Bullinger 1
Affiliation  

ABSTRACT

With highly automated vehicles (HAVs), the human role shifts from active driver to mostly passive passenger, which has an impact on the perceived comfort while being driven. A number of factors need to be taken into account when designing an automated driving style (ADS) with the aim to minimize human discomfort. In this paper, the authors build on seven empirical studies to determine first, if a generally comfortable ADS exists and second, whether such an ADS should be designed depending on situational driving dynamics or individual user characteristics such as users’ manual driving styles. The results give an overview of the ADS- and user-related factors causing human discomfort in automated driving and provide potential strategies to overcome potential discomfort. Drawing on the data, upcoming challenges in the field of human discomfort in HAVs for both research and practice are presented.



中文翻译:

舒适与否?自动驾驶风格和用户特征会在自动驾驶中引起人的不适

摘要

借助高度自动化的车辆(HAV),人类角色将从主动驾驶员转变为被动乘客,这会影响驾驶时的舒适感。设计自动驾驶方式(ADS)时需要考虑许多因素,以最大程度地减少人为不适感。在本文中,作者基于七项经验研究,首先确定是否存在普遍舒适的ADS,其次确定是否应根据情况的驾驶动态或个人用户的特征(例如用户的手动驾驶方式)设计这种ADS。结果概述了ADS和与用户相关的因素,这些因素会导致自动驾驶中的人体不适,并提供了克服潜在不适的潜在策略。利用数据,

更新日期:2021-01-31
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