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接管后条件自动驾驶熟练度:通过驾驶和生理信号理解稳定时间。

Post-Takeover Proficiency in Conditionally Automated Driving: Understanding Stabilization Time with Driving and Physiological Signals.

机构信息

Faculty of Electrical Engineering, University of Ljubljana, Tržaška cesta 25, 1000 Ljubljana, Slovenia.

出版信息

Sensors (Basel). 2024 May 17;24(10):3193. doi: 10.3390/s24103193.

Abstract

In the realm of conditionally automated driving, understanding the crucial transition phase after a takeover is paramount. This study delves into the concept of post-takeover stabilization by analyzing data recorded in two driving simulator experiments. By analyzing both driving and physiological signals, we investigate the time required for the driver to regain full control and adapt to the dynamic driving task following automation. Our findings show that the stabilization time varies between measured parameters. While the drivers achieved driving-related stabilization (winding, speed) in eight to ten seconds, physiological parameters (heart rate, phasic skin conductance) exhibited a prolonged response. By elucidating the temporal and cognitive dynamics underlying the stabilization process, our results pave the way for the development of more effective and user-friendly automated driving systems, ultimately enhancing safety and driving experience on the roads.

摘要

在有条件自动化驾驶领域,理解接管后的关键过渡阶段至关重要。本研究通过分析两个驾驶模拟器实验中记录的数据,深入探讨了接管后稳定化的概念。通过分析驾驶和生理信号,我们研究了驾驶员在自动化后重新完全控制并适应动态驾驶任务所需的时间。我们的研究结果表明,稳定化时间因测量参数而异。虽然驾驶员在 8 到 10 秒内实现了与驾驶相关的稳定化(转向、速度),但生理参数(心率、相位皮肤电导)的反应时间则更长。通过阐明稳定化过程中的时间和认知动态,我们的研究结果为开发更有效和用户友好的自动化驾驶系统铺平了道路,从而最终提高道路上的安全性和驾驶体验。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1adb/11125338/b3ff0230a0a4/sensors-24-03193-g001.jpg

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