Personality Openness Predicts Driver Trust in Automated Driving
Journal article, 2020

Maintaining an appropriate level of trust in automated driving (AD) is critical to safe driving. However, few studies have explored factors affecting trust in AD in general, and no study, as far as is known, has directly investigated whether driver personality influences driver trust in an AD system. The current study investigates the relation between driver personality and driver trust in AD, focusing on Level 2 AD. Participants were required to perform a period of AD in a driving simulator, during which their gaze and driving behavior were recorded, as well as their subjective trust scores after driving. In three distinct measures, a significant correlation between Openness and driver trust in the AD system is found: participants with higher Openness traits tend to have less trust in the AD system. No significant correlations between driver trust in AD and other personality traits are found. The findings suggest that driver personality has an impact on driver trust in AD. Theoretical and practical implications of this finding are discussed.


Automated driving




Wenmin Li

Zhejiang University

Nailang Yao

Zhejiang University

Yanwei Shi

Zhejiang University

Weiran Nie


Yuhai Zhang


Xiangrong Li


Jiawen Liang

Zhejiang University

Fang Chen

Chalmers, Computer Science and Engineering (Chalmers), Interaction Design (Chalmers)

Zaifeng Gao

Zhejiang University

Automotive Innovation

20964250 (ISSN) 25228765 (eISSN)

Vol. 3 1 3-13

Subject Categories

Infrastructure Engineering

Applied Psychology

Vehicle Engineering



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3/5/2021 3