Abstract
The aim of this study was to evaluate the consistency of driving style assessments from self-reported information and actual driving behavior. 32 participants participated in the study and completed the MDSI-C questionnaire and drove in a simulator for 50 min, which involved seven different types of driving scenarios on a highway. The data obtained from the questionnaire scores on six dimensions and thirteen driving behavior data were used to perform clustering respectively. The results showed that the consistency of the results obtained from the two methods reached 50%, suggesting that the MDSI-C has some degree of predictive value for driving behavior in simulators. The inconsistency could be attributed to differences in the information used for clustering, limitations of self-reported methods, and the impact of simulator distortion.
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We appreciated the support from Chongqing Changan Automobile Co., Ltd and the National Natural Science Foundation of China (Grant Nos. 71942005 and 72192824).
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Xu, X., Zhang, Q., Mao, Y., Cheng, Z., Ma, L. (2023). Consistency Analysis of Driving Style Classification Based on Subjective Evaluation and Objective Driving Behavior. In: Krömker, H. (eds) HCI in Mobility, Transport, and Automotive Systems. HCII 2023. Lecture Notes in Computer Science, vol 14049. Springer, Cham. https://doi.org/10.1007/978-3-031-35908-8_5
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