Analysing the effect of gender on the human–machine interaction in level 3 automated vehicles

Li, Shuo, Blythe, Phil, Zhang, Yanghanzi, Edwards, Simon, Guo, Weihong, Ji, Yanjie, Goodman, Paul, Hill, Graeme and Namdeo, Anil (2022) Analysing the effect of gender on the human–machine interaction in level 3 automated vehicles. Scientific Reports, 12 (1). p. 11645. ISSN 2045-2322

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The emergence of the level 3 automated vehicles (L3 AVs) can enable drivers to be completely disengaged from driving and safely perform other non-driving related tasks, but sometimes their takeover of control of the vehicle is required. The takeover of control is an important human–machine interaction in L3 AVs. However, little research has focused on investigating the effect of gender on takeover performance. In order to fill this research gap, a driving simulator study with 76 drivers (33 females and 43 males) was conducted. The participants took over control from L3 AVs, and the timing and quality of takeover were measured. The results show that although there was no significant difference in most of the measurements adopted to quantify takeover performance between female and male. Gender did affect takeover performance slightly, with women exhibited slightly better performance than men. Compared to men, women exhibited a smaller percentage of hasty takeovers and slightly faster reaction times as well as slightly more stable operation of the steering wheel. The findings highlight that it is important for both genders to recognise they can use and interact with L3 AVs well, and more hands-on experience and teaching sessions could be provided to deepen their understanding of L3 AVs. The design of the car interiors of L3 AVs should also take into account gender differences in the preferences of users for different non-driving related tasks.

Item Type: Article
Additional Information: Funding Information: We would like to thank all the participants of this study. We acknowledge the on-going support of the UK's Engineering and Physical Sciences Research Council (EPSRC) throughout the research through the following funding awards: LC Transform (EP/N010612/1); Helping Older Drivers continue driving safer for longer (EP/K037579/1); the Centre for Energy Systems Integration (EP/P001173/1); and also supported by the National Innovation Centre for Ageing (NICA) and the UK Department for Transport (DfT).
Uncontrolled Keywords: Automobile Driving - psychology, Autonomous Vehicles, Female, Humans, Male, Psychomotor Performance - physiology, Reaction Time - physiology, Sex Factors
Subjects: F900 Others in Physical Sciences
H200 Civil Engineering
Department: Faculties > Engineering and Environment > Geography and Environmental Sciences
Depositing User: Rachel Branson
Date Deposited: 25 Jul 2022 12:41
Last Modified: 25 Jul 2022 12:45

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