Research on the Influence of Vehicle Head-Up Display Warning Design on Driver Experience with Different Driving Styles

Compared with manual driving, the advanced driver assistance system reduces the pressure on the driver, and at the same time, the driver does not have to pay too much attention to driving safety issues. However, there are also potential conditions that exceed the ability of Autonomous Vehicles (AVs). The driver needs to quickly understand the driving intention and behavior warning of autonomous vehicles during the driving process, so as to take over the vehicle in time. Autonomous driving scenarios show that In-vehicle Head-Up Display (HUD) is considered to be the promising way of in-vehicle information presentation in the future. In the context of intelligent assisted driving technology, HUDs which are installed in AVs aim to introduce seamless visual information to drivers, while at the same time, allowing drivers to understand the driving intention of the vehicle more intuitively, which significantly helps to build more effective collaboration between drivers and AVs. Based on the fact listed above, current research on display timing focuses on the takeover prompt in non-driving activity scenarios, while there is less research on the timing of vehicle HUD warning feedback. The experiments were analyzed by qualitative and quantitative methods. We use HUD to present information in our experiments. In this study, a HUD design for AVs driving behavior warning is established to evaluate the experience and impact of different timing warning displays for users with various driving styles in autonomous driving scenarios.

• Record URL:
  • https://doi.org/10.1007/978-3-031-35908-8_7
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9783031359071
• Supplemental Notes:
  • © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023. The contents of this paper reflect the views of the author[s] and do not necessarily reflect the official views or policies of the Transportation Research Board or the National Academy of Sciences.
• Corporate Authors:

  Springer Nature Switzerland

  ,    
• Authors:
  • Zhang, Ruiying
  • Liu, Zhizi
  • Tan, Zhengyu
  • Zhang, Ruifo
  • Yu, Shiyu
• Conference:
  • 25th HCI International Conference (HCII 2023)
  • Location: Copenhagen , Denmark
  • Date: 2023-7-23 to 2023-7-28
• Publication Date: 2023-7

Language

• English

Media Info

• Media Type: Web
• Pagination: pp 88-100
• Monograph Title: HCI in Mobility, Transport, and Automotive Systems: 5th International Conference, MobiTAS 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Copenhagen, Denmark, July 23–28, 2023, Proceedings, Part II

Subject/Index Terms

• TRT Terms: Driver support systems; Driving behavior; Head up displays; Warning systems
• Subject Areas: Data and Information Technology; Highways; Vehicles and Equipment;

Filing Info

• Accession Number: 01936630
• Record Type: Publication
• ISBN: 9783031359071
• Files: TRIS
• Created Date: Nov 12 2024 9:13AM