{"title":"Vigilance decrement in automated vs. manual driving: Insights from multimodal data","authors":"Chuanggao Lin , Fangda Zhang , Yong Zhang , Tingru Zhang","doi":"10.1016/j.trf.2025.03.022","DOIUrl":null,"url":null,"abstract":"<div><div>Driver vigilance is a crucial factor in road safety. Vigilance decrement can pose a significant challenge under Level 2 driving automation, where drivers are relieved of active vehicle control but must still continuously monitor the system. This study aims to evaluate the dynamic changes in vigilance during prolonged automated driving using multimodal data. A simulated driving experiment was conducted in which participants drove in either manual or automated mode while responding to randomly presented traffic sign targets. Subjective vigilance ratings, target detection performance, and physiological signals, including eye movements, electroencephalogram (EEG), and electrocardiogram (ECG), were recorded and analyzed. The results revealed that the first significant vigilance decrement in automated mode occurred around 15 min into driving, with a second decrement occurring between 25 and 40 min. In contrast, the first significant vigilance decrement in manual driving was observed after 25 to 40 min of driving, later than in automated driving. Additionally, vigilance decrement was more pronounced in automated driving, as evidenced by lower subjective vigilance ratings, reduced fixation counts, and increased EEG wave powers. Through cross-validation of multimodal metrics, this study demonstrates that vigilance decrement occurs earlier and to a greater extent in automated driving compared to manual driving. These findings provide a valuable theoretical foundation for developing intervention strategies to enhance driver vigilance and contribute to the overall improvement in driving safety.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"112 ","pages":"Pages 207-220"},"PeriodicalIF":3.5000,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportation Research Part F-Traffic Psychology and Behaviour","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1369847825001147","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHOLOGY, APPLIED","Score":null,"Total":0}
引用次数: 0
Abstract
Driver vigilance is a crucial factor in road safety. Vigilance decrement can pose a significant challenge under Level 2 driving automation, where drivers are relieved of active vehicle control but must still continuously monitor the system. This study aims to evaluate the dynamic changes in vigilance during prolonged automated driving using multimodal data. A simulated driving experiment was conducted in which participants drove in either manual or automated mode while responding to randomly presented traffic sign targets. Subjective vigilance ratings, target detection performance, and physiological signals, including eye movements, electroencephalogram (EEG), and electrocardiogram (ECG), were recorded and analyzed. The results revealed that the first significant vigilance decrement in automated mode occurred around 15 min into driving, with a second decrement occurring between 25 and 40 min. In contrast, the first significant vigilance decrement in manual driving was observed after 25 to 40 min of driving, later than in automated driving. Additionally, vigilance decrement was more pronounced in automated driving, as evidenced by lower subjective vigilance ratings, reduced fixation counts, and increased EEG wave powers. Through cross-validation of multimodal metrics, this study demonstrates that vigilance decrement occurs earlier and to a greater extent in automated driving compared to manual driving. These findings provide a valuable theoretical foundation for developing intervention strategies to enhance driver vigilance and contribute to the overall improvement in driving safety.
期刊介绍:
Transportation Research Part F: Traffic Psychology and Behaviour focuses on the behavioural and psychological aspects of traffic and transport. The aim of the journal is to enhance theory development, improve the quality of empirical studies and to stimulate the application of research findings in practice. TRF provides a focus and a means of communication for the considerable amount of research activities that are now being carried out in this field. The journal provides a forum for transportation researchers, psychologists, ergonomists, engineers and policy-makers with an interest in traffic and transport psychology.