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Getting Back Into the Loop: The Perceptual-Motor Determinants of Successful Transitions out of Automated Driving

机译:回到循环中:自动驾驶成功过渡的知觉-马达决定因素

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Objective: To present a structured, narrative review highlighting research into human perceptual-motor coordination that can be applied to automated vehicle (AV)-human transitions. Background: Manual control of vehicles is made possible by the coordination of perceptual-motor behaviors (gaze and steering actions), where active feedback loops enable drivers to respond rapidly to ever-changing environments. AVs will change the nature of driving to periods of monitoring followed by the human driver taking over manual control. The impact of this change is currently poorly understood. Method: We outline an explanatory framework for understanding control transitions based on models of human steering control. This framework can be summarized as a perceptual-motor loop that requires (a) calibration and (b) gaze and steering coordination. A review of the current experimental literature on transitions is presented in the light of this framework. Results: The success of transitions are often measured using reaction times, however, the perceptual-motor mechanisms underpinning steering quality remain relatively unexplored. Conclusion: Modeling the coordination of gaze and steering and the calibration of perceptual-motor control will be crucial to ensure safe and successful transitions out of automated driving. Application: This conclusion poses a challenge for future research on AV-human transitions. Future studies need to provide an understanding of human behavior that will be sufficient to capture the essential characteristics of drivers reengaging control of their vehicle. The proposed framework can provide a guide for investigating specific components of human control of steering and potential routes to improving manual control recovery.
机译:目的:提出结构化,叙述性的综述,重点介绍可应用于自动车辆(AV)-人类过渡的人类知觉-运动协调研究。背景技术:通过感知运动行为(凝视和转向动作)的协调,可以实现车辆的手动控制,其中主动反馈回路使驾驶员能够对瞬息万变的环境做出快速反应。自动驾驶将把驾驶的性质改变为监视期,随后人类驾驶员将接管手动控制。目前对这种变化的影响了解得很少。方法:我们概述了一个基于人类转向控制模型的解释框架,用于理解控制转换。该框架可以概括为感知运动回路,需要(a)校准以及(b)注视和转向协调。根据这一框架,对当前有关过渡的实验文献进行了综述。结果:过渡的成功通常使用反应时间来衡量,但是,支撑转向质量的知觉运动机制仍然相对未开发。结论:凝视和转向协调以及感知电机控制的校准建模对于确保安全,成功地过渡到自动驾驶至关重要。应用:该结论对AV-人类过渡的未来研究提出了挑战。未来的研究需要提供对人类行为的理解,这足以捕捉驾驶员重新控制车辆的基本特征。拟议的框架可以提供指导,以研究操纵的人为控制的特定组成部分和可能的路线,以改善手动控制的恢复。

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