利用消费电子设备对常见驾驶活动进行生理和情绪评价

Vadim Melnicuk, S. Birrell, E. Crundall, P. Jennings
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引用次数: 7

摘要

为未来的车辆配备能够实时跟踪和分析驾驶员状态的车载系统,以降低手动或半自动驾驶中人为错误发生的风险,这一点非常重要。本研究旨在为采用消费级电子设备进行驾驶状态监测提供一些支持证据。研究采用重复测量设计,并在高保真驾驶模拟器中进行。共有39名年龄和性别混合的参与者参加了用户试验。开发移动应用程序是为了演示移动设备如何充当驱动状态监控系统的主机,支持来自多个设备的驱动状态相关措施的连接、同步和存储。这项研究的结果表明,来自消费级电子设备的多种生理指标可以用来成功区分常见驾驶活动中的任务复杂性。例如,皮肤电反应和一些心率衍生物被发现与总体主观工作量评级相关。此外,情绪被捕捉并显示出受到极端驾驶情况的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Employing consumer electronic devices in physiological and emotional evaluation of common driving activities
It is important to equip future vehicles with an onboard system capable of tracking and analyzing driver state in real-time in order to mitigate the risk of human error occurrence in manual or semi-autonomous driving. This study aims to provide some supporting evidence for adoption of consumer grade electronic devices in driver state monitoring. The study adopted repeated measure design and was performed in high-fidelity driving simulator. Total of 39 participants of mixed age and gender have taken part in the user trials. The mobile application was developed to demonstrate how a mobile device can act as a host for a driver state monitoring system, support connectivity, synchronization, and storage of driver state related measures from multiple devices. The results of this study showed that multiple physiological measures, sourced from consumer grade electronic devices, can be used to successfully distinguish task complexities across common driving activities. For instance, galvanic skin response and some heart rate derivatives were found to be correlated to overall subjective workload ratings. Furthermore, emotions were captured and showed to be affected by extreme driving situations.
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