Research on Interactive Strategy for Boosting Novice Drivers’ Confidence Based on Internet of Vehicles

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Abstract

With the economic growth and the realization of technology, the development of Internet of Vehicles (IoV) further facilitates People’s Daily traffic. But numerous problems in driving are also gradually emerging, especially for novice drivers. In the IOV system composed of people, vehicles and the environment, people are one of the factors causing system instability as a core of controlling and balancing the whole interaction process. The driver of different human-car interaction stages has different behavioral characteristics. Interactive strategies connect novices and experienced drivers in an effective way. Experienced drivers can be purposeful and effective in guiding novices. It also provides intelligent guidance for novice drivers to drive independently. At the evaluation stage, three experts were invited to give comments and suggestions on the interactive strategies. This purpose of this paper is to explore the driving style, pain points and requirements of novices, and propose interactive strategies specifically, to help novice drivers improve interactive experience, improve driving confidence, and effectively practice driving.

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APA

Zhu, Y. cong, & Zhu, D. (2019). Research on Interactive Strategy for Boosting Novice Drivers’ Confidence Based on Internet of Vehicles. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11585 LNCS, pp. 170–180). Springer Verlag. https://doi.org/10.1007/978-3-030-23538-3_13

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