Vijay Neelima C, Agarwal Amit, Gupta Kamini
Department of Civil Engineering, Indian Institute of Technology Roorkee, Roorkee, 247667, India.
Department of Civil Engineering, Indian Institute of Technology Roorkee, Roorkee, 247667, India.
Accid Anal Prev. 2025 Mar;211:107888. doi: 10.1016/j.aap.2024.107888. Epub 2024 Dec 19.
Driving is a multifaceted activity involving a complex interplay of cognitive, perceptual, and motor skills, demanding continuous attention on the road. In recent years, the increased integration of automation and digitalization technologies in vehicles has improved drivers' convenience and safety. However, the spare attentional capacity available during automation and the prevalence of various infotainment systems in vehicles enable drivers to perform some secondary tasks not related to driving, which may divert their attention away from the road, increasing the chances of accidents. The objective of the present study is to conduct a comprehensive systematic review of existing literature utilizing an eye tracker to analyze driver distraction due to automation and/or digitalization in motorized vehicles, with a focus on identifying the key factors leading to visual distraction. Through a literature search on five databases: Google Scholar, PubMed, ScienceDirect, Scopus, and Web of Science, a total of 4769 articles were initially identified. After a systematic screening, 65 research articles are considered for the review. The findings of the study indicate an increase in the research conducted on driver distraction due to automation and/or digitalization over recent years, with the highest contribution of studies from the United States and China. The lack of studies from other parts of the world like South America, Africa and the limited representation from larger parts of Asia, specifically India, highlights the need for future research in the area. Studies report a diversion in drivers' visual attention away from the roadway, in terms of long and frequent off-road glances, while engaging in secondary tasks during automation and/or digitalization. Studies also demonstrate changes in the pattern of drivers' visual attention with respect to different factors like HMI information, type of secondary task, type of input modality, in-vehicle display characteristics, and vehicle automation. Studies have also found success in using feedback to reduce visual distraction and to bring back drivers' attention on the roads. In light of the findings observed, the review provides a discussion on the effects of automation and/or digitalization technologies on drivers' visual attention. The study also highlights the areas that are not explored despite the wealth of research available on the topic.
驾驶是一项多方面的活动,涉及认知、感知和运动技能的复杂相互作用,需要在路上持续保持注意力。近年来,车辆中自动化和数字化技术的日益集成提高了驾驶员的便利性和安全性。然而,自动化过程中可用的额外注意力容量以及车辆中各种信息娱乐系统的普及,使驾驶员能够执行一些与驾驶无关的次要任务,这可能会将他们的注意力从道路上转移开,增加事故发生的几率。本研究的目的是对现有文献进行全面的系统综述,利用眼动仪分析机动车中自动化和/或数字化导致的驾驶员分心情况,重点是确定导致视觉分心的关键因素。通过在谷歌学术、PubMed、科学Direct、Scopus和Web of科学这五个数据库中进行文献检索,最初共识别出4769篇文章。经过系统筛选,65篇研究文章被纳入综述。研究结果表明,近年来关于自动化和/或数字化导致的驾驶员分心的研究有所增加,其中美国和中国的研究贡献最大。世界其他地区如南美洲、非洲的研究匮乏,以及亚洲较大地区(特别是印度)的代表性有限,凸显了该领域未来研究的必要性。研究报告称,在自动化和/或数字化过程中执行次要任务时,驾驶员的视觉注意力会从道路上转移,表现为长时间且频繁地看向道路以外的地方。研究还表明,驾驶员的视觉注意力模式会因不同因素而发生变化,如人机交互信息、次要任务类型、输入方式类型、车内显示屏特性和车辆自动化程度。研究还发现,使用反馈来减少视觉分心并使驾驶员将注意力重新集中到道路上取得了成功。鉴于观察到的研究结果,本综述讨论了自动化和/或数字化技术对驾驶员视觉注意力的影响。该研究还强调了尽管在该主题上有大量研究,但仍未探索的领域。