Clarion Antoine, Ramon Carolina, Petit Claire, Dittmar André, Bourgeay J P, Guillot Aymeric, Gehin Claudine, McAdams Eric, Collet Christian
Renault, Guyancourt, France.
Behav Res Methods. 2009 Aug;41(3):882-8. doi: 10.3758/BRM.41.3.882.
In the field of cognitive ergonomics, research on car drivers requires multimodal in-vehicle systems for recording not only driving-related behavior, but also contextual information from their surroundings. In addition, reliable information concerning a driver's functional state should be obtained. In this article, we describe an integrated device simultaneously recording specific physiological data, video recordings of the driver and environment, parameters from the vehicle, and contextual data. Physiological signals from the autonomic nervous system provide objective and quantitative information on the driver's alertness and his/her ability to process specific driving-related stimuli or other nonspecific information. Consequently, recorded physiological responses can be related to individual driving events. Electrodermal and cardiac activities are sensitive to time-dependent variations in arousal level and to certain external stimuli, so there is great interest in studying drivers' behavior via measured physiological signals that have been established as suitable behavioral indicators. The present integrated device is capable of processing the relevant indices from raw measured data in real time.
在认知工效学领域，针对汽车驾驶员的研究需要多模态车载系统，以便不仅记录与驾驶相关的行为，还能记录来自其周围环境的上下文信息。此外，还应获取有关驾驶员功能状态的可靠信息。在本文中，我们描述了一种集成设备，它能同时记录特定的生理数据、驾驶员和环境的视频记录、车辆参数以及上下文数据。来自自主神经系统的生理信号提供了关于驾驶员警觉性以及其处理特定驾驶相关刺激或其他非特定信息能力的客观和定量信息。因此，记录的生理反应可以与个体驾驶事件相关联。皮肤电活动和心脏活动对唤醒水平的时间依赖性变化以及某些外部刺激敏感，所以通过已被确立为合适行为指标的测量生理信号来研究驾驶员行为具有很大的研究价值。当前的集成设备能够实时处理原始测量数据中的相关指标。
