Take-Over Intention during Conditionally Automated Driving in China
Current Situation and Influencing Factors
Bibliographic Data
| ID | 15495237 |
|---|---|
| Authors | Zhongxiang Feng (0000-0002-4388-0787, Southeast University), Jingyu Li (0000-0001-8400-0187, Hefei University of Technology, corresponding author), Xiaoqin Xu (Hefei University of Technology), Amy Guo (0000-0003-3288-0877, Southeast University), Huang Cong-jun (Hefei Urban Planning & Design Institute), Xu Jiang (0000-0001-7324-7125, Hefei Urban Planning & Design Institute) |
| Year | 2021 |
| Volume | 18 |
| Issue | 21 |
| Pages | 11076-11076 |
| Publication date | 2021-10-21 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph182111076 |
| PMID | 34769595 |
| OpenAlex | W3209512892 |
| Language | EN |
| References cited | 6 |
Drivers' take-over intention is important for the design of the automated driving systems and affects the safety of automated driving. This study explored the influence factors on drivers' take-over intention during conditionally automated driving, examined the correlations among factors through path analysis, and established a take-over intention model. A questionnaire survey was conducted in Hefei, China, and a sample of 277 drivers was obtained. Our study shows that the average take-over intention of those aged under 20 is lower than that of the older age groups. In the positive emotions (PE) scenarios, the take-over intention of aged 31-40 is significantly higher than that of the other age groups. Education and occupation have a significant influence on the take-over intention. The perceived ease of use (PEofU) and perceived usefulness (PU) of automated driving are significantly negatively correlated with drivers' take-over intention in the road conditions (RC) and climate conditions (CC) scenarios. In addition, through path model analysis, our study shows that trust in the safety of autonomous vehicles (AVs) plays an important role in drivers' take-over intention. Technology acceptance, risk perception and self-efficacy has indirectly correlated with take-over intention through trust in the safety of AVs. In general, drivers with lower technology acceptance, lower self-efficacy and higher risk perception are less likely to trust automated driving technology and have shown stronger intention to take-over the control of the vehicles
China · Control (management · Environmental health · Geography · Path analysis (statistics · Perception · Poison control · Risk perception · Sample (material · Structural equation modeling · Theory of planned behavior · Applied Psychology · Computer Science · Human Factors and Ergonomics · Human-Automation Interaction and Safety · Medicine · Older Adults Driving Studies · Psychology · Social Psychology · Traffic and Road Safety
Investigating the Importance of Trust on Adopting an Autonomous Vehicle
Trust in Automation
The roles of initial trust and perceived risk in public’s acceptance of automated vehicles
Self-Efficacy
Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology
Trust in driverless cars
| Citation velocity | historical |
|---|---|
| Highly cited | No |