Testing Approach of HMI Designs for Vehicles with Automated Driving Systems: A Usability Test Case Based on the Driving Simulator

With the rapid development of Intelligent Vehicle, higher levels of automation (SAE level 3 and above; Society of Automotive Engineers [SAE] 2021) will be brought to the market in the next few years, and the corresponding in-car human-machine interface (HMI) will also usher in significant development and reform. However, the application of new technologies brings about more complex human-machine interfaces, longer development cycles and higher costs. Ensuring the safety and convenient interactive experience of in-car HMI becomes a greater challenge faced by designers. This paper investigates a driving simulator, which aims at achieving pre-launch experience assessment of a new in-car HMI design. Through the real-time linkage of virtual simulation HMI, virtual environment and cockpit hardware, the real restoration of users’ driving scenes and in-car HMI experience can be realized, so that the evaluation can help the product team redesign or optimize HMI to improve its safety and availability. A set of automated driving system (SAE level 2&3) prototype was developed, and a usability study was performed on a driving simulator to evaluate the usability of the prototype. Fifteen participants were called upon to perform high-frequency common tasks based on two storylines while driving in the driving simulator. Their behavior and subjective feedback during driving were observed and recorded. After driving, semi-structured interviews were carried out. The results of the usability study helped the authors to improve HMI design solutions. According to this study, the authors have summarized the advantages and disadvantages of studying the usability of the driving simulator and provided reference suggestions for its subsequent development and improvement.

• Record URL:
  https://doi.org/10.1007/978-3-031-04987-3
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9783031049866
• Supplemental Notes:
  • © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022.
• Corporate Authors:

  Springer International Publishing

  ,    
• Authors:
  • Zhong, Hua
  • Hong, Suzhen
  • Gao, Chunbin
  • Liu, Kai
  • Wang, Xuning
  • Zhang, Qing
  • Zhu, Kunxiong
  • Wang, Yue
  • Guo, Yaowen
• Conference:
  • 24th HCI International Conference (HCII 2022)
  • Date: 2022-6-26 to 2022-7-1
• Publication Date: 2022-6-16

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 459-471
• Monograph Title: HCI in Mobility, Transport, and Automotive Systems: 4th International Conference, MobiTAS 2022, Held as Part of the 24th HCI International Conference, HCII 2022, Virtual Event, June 26 – July 1, 2022, Proceedings
• Serial:
  • Lecture Notes in Computer Science
  • Publisher: Springer Cham
  • ISSN: 0302-9743
  • Serial URL: https://www.springer.com/series/558

Subject/Index Terms

• TRT Terms: Design; Driving simulators; Human machine systems; Intelligent vehicles; Testing; User interfaces (Computer science)
• Subject Areas: Design; Highways; Vehicles and Equipment;

Filing Info

• Accession Number: 01889747
• Record Type: Publication
• ISBN: 9783031049866
• Files: TRIS
• Created Date: Aug 7 2023 7:11PM