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• W3000084295 startingPage "430" @default.
• W3000084295 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." @default.
• W3000084295 created "2020-01-23" @default.
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• W3000084295 date "2020-01-08" @default.
• W3000084295 modified "2023-10-18" @default.
• W3000084295 title "Analysis of Driving Behavior Based on Dynamic Changes of Personality States" @default.
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• W3000084295 doi "https://doi.org/10.3390/ijerph17020430" @default.
• W3000084295 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7013947" @default.
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