Abstract
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 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 base 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 us to improve HMI design solutions. According to this study, we have summarized the advantages and disadvantages of studying the usability of the driving simulator and provided reference suggestions for its subsequent development and improvement.
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References
Liao, J., Hansen, P., Chai, C.: A framework of artificial intelligence augmented design support. Hum.-Comput. Interact. 35(5–6), 511–544 (2020)
Ohn-Bar, E., Trivedi, M.M.: Looking at humans in the age of self-driving and highly automated vehicles. IEEE Trans. Intell. Veh. 1(1), 90–104 (2016)
Made in China 2025. http://www.miit.gov.cn/n973401/n1234620/. Accessed 22 Jan 2020
Hutchinson, C.H.: Automobile driving simulator feasibility study. Cornell Aeronautical Laboratory, Incorporated of Cornell University (1958)
Sheridan, T.B.: Mathematical models and simulation of automobile driving. In: Conference Proceedings, Massachusetts Institute of Technology, Cambridge, Mass, USA (1967)
RICE, RS: Methods of improving point-light source techniques for application to automobile driving simulators (Point source techniques for automobile driving simulation) (1967)
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Zhong, H. et al. (2022). Testing Approach of HMI Designs for Vehicles with Automated Driving Systems: A Usability Test Case Based on the Driving Simulator. In: Krömker, H. (eds) HCI in Mobility, Transport, and Automotive Systems. HCII 2022. Lecture Notes in Computer Science, vol 13335. Springer, Cham. https://doi.org/10.1007/978-3-031-04987-3_31
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DOI: https://doi.org/10.1007/978-3-031-04987-3_31
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