Queensland University of Technology (QUT), Centre for Accident Research and Road Safety-Queensland (CARRS-Q), Institute of Health and Biomedical Innovation (IHBI), Kelvin Grove, Queensland, 4059, Australia.
Queensland University of Technology (QUT), Centre for Accident Research and Road Safety-Queensland (CARRS-Q), Institute of Health and Biomedical Innovation (IHBI), Kelvin Grove, Queensland, 4059, Australia; RECOVER Injury Research Centre, The University of Queensland, QLD, 4006, Australia.
Accid Anal Prev. 2020 Oct;146:105756. doi: 10.1016/j.aap.2020.105756. Epub 2020 Sep 9.
Eco-safe driving is a promising approach to improve road safety while reducing transport emissions. The application of an eco-safe driving system is feasible with the support of vehicle-to-vehicle/infrastructure technologies. To guarantee system usability and safety appropriateness, a key precondition is to ensure that driver mental workload and visual demands required for using the system are reasonable. This study explored how drivers' mental workload and visual demands were affected when driving with an eco-safe driving HMI (human-machine-interface). Four in-vehicle eco-safe HMI information conditions were evaluated, including baseline, advice only, feedback only, and advice & feedback. Two traffic scenarios (stop-sign intersection with traffic vs. stop-sign intersection without traffic) were simulated using an advanced driving simulator. Behavioural variables (e.g. brake force, acceleration), visual variables (e.g. blink metrics, pupil size) and subjective workload scores were collected from 36 licensed Australian drivers. The experiment results showed that the HMI prompted drivers to apply a smooth and stable brake force when they approached the intersection and a smooth acceleration when they left the intersection. Drivers' mental workload indicated by visual measurements were consistent with their subjective reported workload levels. Drivers had a higher mental workload when they received and processed additional eco-safe information in the advice & feedback condition. An increase in mental workload induced by the in-vehicle cognitive task initiated more blink activities while the increase in visual demand caused by a complex road situation led to blink inhibition. The study shows the HMI could significantly promote eco-safe driving behaivours without causing excessive mental and visual workload of drivers.
生态安全驾驶是提高道路安全水平同时减少交通排放的一种有前途的方法。在车对车/车对基础设施技术的支持下,生态安全驾驶系统的应用是可行的。为了保证系统的可用性和安全性,一个关键的前提是确保驾驶员使用系统所需的精神工作负荷和视觉需求是合理的。本研究探讨了驾驶员在使用生态安全驾驶人机界面(HMI)时,精神工作负荷和视觉需求是如何受到影响的。评估了四种车载生态安全 HMI 信息条件,包括基线、仅建议、仅反馈和建议和反馈。使用先进的驾驶模拟器模拟了两种交通场景(有交通信号灯的十字路口和无交通信号灯的十字路口)。从 36 名澳大利亚持照驾驶员那里收集了行为变量(例如制动压力、加速度)、视觉变量(例如眨眼指标、瞳孔大小)和主观工作负荷得分。实验结果表明,HMI 提示驾驶员在接近十字路口时施加平稳稳定的制动力,在离开十字路口时施加平稳的加速度。通过视觉测量指示的驾驶员精神工作负荷与他们报告的主观工作负荷水平一致。当驾驶员在建议和反馈条件下接收和处理额外的生态安全信息时,他们的精神工作负荷更高。车载认知任务引起的精神工作负荷增加会导致更多的眨眼活动,而复杂路况引起的视觉需求增加则会导致眨眼抑制。研究表明,HMI 可以显著促进生态安全驾驶行为,而不会给驾驶员造成过大的精神和视觉工作负荷。