Mind over motor mapping: Driver response to changing vehicle dynamics.

Mind over motor mapping: Driver response to changing vehicle dynamics.
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DOI:
10.1002/hbm.24220
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发表时间:
2018-10
影响因子:
4.8
通讯作者:
Reiss AL
Reiss AL
中科院分区:
医学2区
文献类型:
--
作者:
Bruno JL;Baker JM;Gundran A;Harbott LK;Stuart Z;Piccirilli AM;Hosseini SMH;Gerdes JC;Reiss AL

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提高车辆安全性需要了解支持现实世界驾驶的复杂动态任务的神经系统。我们使用功能性近红外光谱(fNIRS)和瞳孔测量来量化皮质和生理反应,在一个现实的,模拟驾驶任务中,车辆动力学被操纵。我们的研究结果阐明了驾驶员行为的补偿性变化,以应对车辆操纵的变化。我们还描述了相关的神经和生理反应下,不同水平的心理负荷。我们在实验后期观察到的皮层激活增加可能表明前额叶-顶叶网络中的运动学习。最后,皮质激活,转向控制和个人人格特质之间的关系表明,个人的大脑状态和特征可能是有用的,在预测驾驶员的车辆动力学的变化的反应。诸如此类的结果将有助于为自动安全系统的设计提供信息,以促进安全和支持性的驾驶员-汽车通信。
Improvements in vehicle safety require understanding of the neural systems that support the complex, dynamic task of real-world driving. We used functional near infrared spectroscopy (fNIRS) and pupilometry to quantify cortical and physiological responses during a realistic, simulated driving task in which vehicle dynamics were manipulated. Our results elucidate compensatory changes in driver behavior in response to changes in vehicle handling. We also describe associated neural and physiological responses under different levels of mental workload. The increased cortical activation we observed during the late phase of the experiment may indicate motor learning in prefrontal–parietal networks. Finally, relationships among cortical activation, steering control, and individual personality traits suggest that individual brain states and traits may be useful in predicting a driver’s response to changes in vehicle dynamics. Results such as these will be useful for informing the design of automated safety systems that facilitate safe and supportive driver–car communication.
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