The Effect of AR-HUD Takeover Assistance Types on Driver Situation Awareness in Highly Automated Driving: A 360-Degree Panorama Experiment

被引：6

作者：

Wu, Zhendong ^{[1
]}

Zhao, Lintao ^{[1
]}

Liu, Guocui ^{[1
]}

Chai, Jingchun ^{[1
]}

Huang, Jierui ^{[1
]}

Ai, Xiaoqun ^{[1
,2
,3
]}

机构：

[1] Huaqiao Univ, Coll Mech Engn & Automat, Xiamen, Peoples R China

[2] Cent Acad Fine Arts, Coll Architecture, Beijing, Peoples R China

[3] Huaqiao Univ, Coll Mech Engn & Automat, 668 Jimei Ave, Xiamen, Fujian, Peoples R China

来源：

INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION | 2024年 / 40卷 / 20期

关键词：

Automated driving; situation awareness; takeover decision; AR-HUD takeover assistance information; eye-tracking; DECISION-MAKING; PERFORMANCE; ATTENTION; TIME; CAR;

D O I：

10.1080/10447318.2023.2254645

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Human-machine co-driving presents a significant hurdle in automated driving system. The takeover process in automated driving system involves complex human factors, failure to takeover the vehicle and control driving behavior during the takeover process may lead to severe traffic safety hazards. An augmented reality head-up display (AR-HUD) takeover assistance information can provide real-time assistance information to the driving environment, enhancing drivers' situation awareness (SA) and takeover decisions in highly automated driving system. This study investigated the impact of different AR-HUD types of takeover assistance information display. Three AR-HUD types, corresponding to the three pre-takeover behavioral processes (perception, understanding, and prediction), were evaluated: PSR (assistance in perceiving the source of risk), AS (assistance in analyzing situations), and MD (assistance in making decisions). The baseline (without assistance information) was used as the control group. In a driving simulation experiment using 360 & DEG; panoramic video, seventy-nine participants performed SA assessment and visual tracking tasks. Questionnaire and eye-tracking data indicated that the type of AR-HUD displayed positively influenced drivers' SA and takeover decisions, with AS being the most effective in enhancing SA and improving takeover performance. Additionally, this study compared the differences between the three types of AR-HUD and the baseline under two takeover request lead times (TORlt) of 5 seconds and 7 seconds. It was found that drivers' SA was lower when TORlt was shorter (with the corresponding AR-HUD display also being shorter). This study provides insight concerning the impact of various types of AR-HUD takeover assistance information display and TORlt on driving safety. The findings support the further optimization of AR-HUD takeover assistance information design.

引用

页码：6492 / 6509

页数：18