@article{ref1,
title="Analysis of driving behavior based on dynamic changes of personality states",
journal="International journal of environmental research and public health",
year="2020",
author="Wang, Fanyu and Zhang, Junyou and Wang, Shufeng and Li, Sixian and Hou, Wenlan",
volume="17",
number="2",
pages="e17020430-e17020430",
abstract="This study investigated the relationship between personality states and driving behavior from a dynamic perspective. A personality baseline was introduced to reflect the driver's trait level and can be used as a basic reference for the dynamic change of personality states. Three kinds of simulated scenarios triggered by pedestrian crossing the street were established using a virtual reality driving simulator. Fifty licensed drivers completed the driving experiments and filled in the Neuroticism Extraversion Openness Five-Factor Inventory (NEO-FFI) questionnaire to measure the drivers' personality baselines. Key indicators were quantified to characterize the five types of personality states by K-means clustering algorithm. The results indicated that the high-risk situation had a greater impact on the drivers, especially for drivers with openness and extroversion. Furthermore, for the drivers of extroverted personality, the fluctuation of personality states in the high-risk scenario was more pronounced. This paper put forward a novel idea for the analysis of driving behavior, and the research results provide a personalized personality database for the selection of different driving modes.<p /> <p>Language: en</p>",
language="en",
issn="1661-7827",
doi="10.3390/ijerph17020430",
url="http://dx.doi.org/10.3390/ijerph17020430"
}