{"title":"Investigating impact of situation awareness-based displays of semi-autonomous driving in urgent situations","authors":"Hwiseong Kim , Jeonguk Hong , Sangwon Lee","doi":"10.1016/j.trf.2024.07.018","DOIUrl":null,"url":null,"abstract":"<div><p>Semi-autonomous vehicles still require drivers to take over in an unexpected situation. In this situation, the increased cognitive load on the driver can lead to distraction, which in turn reduces situational awareness (SA) and prevents appropriate responses, increasing the risk of accidents. For this reason, providing interfaces that enhance SA is essential to ensuring safety and optimal performance. However, existing SA-based display research often overlooks the levels of SA and effectiveness of modalities, especially in urgent situations where a driver’s SA might be compromised. The present study aims to design SA-based display that considers the urgency of the situation and the level of SA in line with a specific design framework and modality effectiveness. We conducted an experiment using simulated videos to evaluate the effectiveness of the SA-based display. This experiment assessed the effects of three urgent situations and three levels of situational awareness-based displays on drivers’ SA, situational trust, mental workload, and perceived urgency. We employed a 3x4 mixed-factorial design for the experiment. The between-subject factors were the SA levels (perception, comprehension, and projection) and a baseline. The within-subject factors were urgency scenarios (low, medium, and high). The results showed that as urgency increased, displays reflecting Level 3 SA, which requires prediction, significantly improved SA compared to other displays. We expect our findings to contribute to the practical design of automotive displays by providing useful considerations for SA-based display design.</p></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":null,"pages":null},"PeriodicalIF":3.5000,"publicationDate":"2024-08-01","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/S1369847824001876","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
Semi-autonomous vehicles still require drivers to take over in an unexpected situation. In this situation, the increased cognitive load on the driver can lead to distraction, which in turn reduces situational awareness (SA) and prevents appropriate responses, increasing the risk of accidents. For this reason, providing interfaces that enhance SA is essential to ensuring safety and optimal performance. However, existing SA-based display research often overlooks the levels of SA and effectiveness of modalities, especially in urgent situations where a driver’s SA might be compromised. The present study aims to design SA-based display that considers the urgency of the situation and the level of SA in line with a specific design framework and modality effectiveness. We conducted an experiment using simulated videos to evaluate the effectiveness of the SA-based display. This experiment assessed the effects of three urgent situations and three levels of situational awareness-based displays on drivers’ SA, situational trust, mental workload, and perceived urgency. We employed a 3x4 mixed-factorial design for the experiment. The between-subject factors were the SA levels (perception, comprehension, and projection) and a baseline. The within-subject factors were urgency scenarios (low, medium, and high). The results showed that as urgency increased, displays reflecting Level 3 SA, which requires prediction, significantly improved SA compared to other displays. We expect our findings to contribute to the practical design of automotive displays by providing useful considerations for SA-based display design.
半自动驾驶车辆仍然需要驾驶员在意外情况下接管车辆。在这种情况下,驾驶员认知负荷的增加会导致注意力分散,进而降低态势感知能力(SA),无法做出适当的反应,增加事故风险。因此,提供能够增强态势感知的界面对于确保安全和最佳性能至关重要。然而,现有的基于态势感知的显示研究往往忽视了态势感知的水平和模式的有效性,尤其是在驾驶员的态势感知可能受到影响的紧急情况下。本研究旨在根据特定的设计框架和模式的有效性,考虑情况的紧迫性和 SA 水平,设计基于 SA 的显示屏。我们使用模拟视频进行了一项实验,以评估基于 SA 的显示屏的有效性。该实验评估了三种紧急状况和三种基于态势感知的显示水平对驾驶员的态势感知、态势信任、心理工作量和感知紧迫性的影响。我们在实验中采用了 3x4 混合因子设计。被试之间的因素是态势感知水平(感知、理解和预测)和基线。被试内部因素为紧迫性情景(低、中、高)。结果表明,随着紧急程度的增加,与其他显示相比,反映 3 级 SA(需要预测)的显示能显著改善 SA。我们希望我们的研究结果能够为基于 SA 的显示屏设计提供有用的考虑因素,从而为汽车显示屏的实际设计做出贡献。
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.