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模拟虚拟环境中的驾驶辅助的听觉神经相关因素和神经工效学。

Auditory neural correlates and neuroergonomics of driving assistance in a simulated virtual environment.

机构信息

Department of Psychiatry, Psychotherapy and Psychosomatics, Medical School, RWTH Aachen University, Aachen, Germany.

Jülich Aachen Research Alliance-Translational Brain Medicine, RWTH Aachen University, Aachen, Germany.

出版信息

J Neural Eng. 2023 Aug 3;20(4). doi: 10.1088/1741-2552/ace79b.

Abstract

Driver assistance systems play an increasingly important role in modern vehicles. In the current level of technology, the driver must continuously supervise the driving and intervene whenever necessary when using driving assistance systems. The driver's attentiveness plays an important role in this human-machine interaction. Our aim was to design a simplistic technical framework for studying neural correlates of driving situations in a functional magnetic resonance imaging (fMRI) setting. In this work we assessed the feasibility of our proposed platform.We proposed a virtual environment (VE) simulation of driver assistance as a framework to investigate brain states related to partially automated driving. We focused on the processing of auditory signals during different driving scenarios as they have been shown to be advantageous as warning stimuli in driving situations. This provided the necessary groundwork to study brain auditory attentional networks under varying environmental demands in an fMRI setting. To this end, we conducted a study with 20 healthy participants to assess the feasibility of the VE simulation.We demonstrated that the proposed VE can elicit driving related brain activation patterns. Relevant driving events evoked, in particular, responses in the bilateral auditory, sensory-motor, visual and insular cortices, which are related to perceptual and behavioral processes during driving assistance. Conceivably, attentional mechanisms increased somatosensory integration and reduced interoception, which are relevant for requesting interactions during partially automated driving.In modern vehicles, driver assistance technologies are playing an increasingly prevalent role. It is important to study the interaction between these systems and drivers' attentional responses to aid in future optimizations of the assistance systems. The proposed VE provides a foundational first step in this endeavor. Such simulated VEs provide a safe setting for experimentation with driving behaviors in a semi-naturalistic environment.

摘要

驾驶员辅助系统在现代车辆中起着越来越重要的作用。在当前的技术水平下,驾驶员在使用驾驶辅助系统时必须持续监督驾驶并在必要时进行干预。驾驶员的注意力在人机交互中起着重要作用。我们的目的是设计一个简单的技术框架,以便在功能磁共振成像 (fMRI) 环境中研究与驾驶情况相关的神经相关性。在这项工作中,我们评估了我们提出的平台的可行性。

我们提出了一种驾驶员辅助的虚拟环境 (VE) 模拟,作为研究与部分自动化驾驶相关的大脑状态的框架。我们专注于在不同驾驶场景中处理听觉信号,因为它们已被证明在驾驶情况下作为警告刺激是有利的。这为在 fMRI 环境中根据不断变化的环境需求研究大脑听觉注意力网络奠定了必要的基础。为此,我们进行了一项有 20 名健康参与者参与的研究,以评估 VE 模拟的可行性。

我们证明了所提出的 VE 可以引起与驾驶相关的大脑激活模式。相关的驾驶事件引起了双侧听觉、感觉运动、视觉和脑岛皮层的反应,这些反应与驾驶辅助期间的感知和行为过程有关。可以想象,注意力机制增加了躯体感觉整合并减少了内脏感知,这对于在部分自动化驾驶期间请求交互是相关的。

在现代车辆中,驾驶员辅助技术的作用越来越普遍。研究这些系统与驾驶员注意力反应之间的相互作用对于未来辅助系统的优化非常重要。所提出的 VE 为这项工作提供了一个基础的第一步。这种模拟的 VE 为在半自然环境中进行驾驶行为的实验提供了一个安全的环境。

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