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Conference Paper Personalized Instrument Cluster for Car-sharing Service: Like my car
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Authors
Young-Jin Kwon, KyongHo Kim, Do-Hyun Kim
Issue Date
2020-10
Citation
International Conference on Information and Communication Technology Convergence (ICTC) 2020, pp.1717-1719
Publisher
IEEE
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/ICTC49870.2020.9289341
Abstract
Car-sharing service users range from novice drivers to experienced drivers. This means that even if the vehicle environment changes according to the driving experience, there were groups that recognized vehicle information skillfully and could driven situations, while there were driver groups who need time to adapt to the changed vehicle environment. We conducted studies on providing personalized service to the vehicle instrument cluster according to the characteristics of the driver. This paper provides a platform that could help safe driving, considering the characteristics of drivers using shared vehicle services. The proposed platform was to provide a familiar user interface and user experience based on the driving experience of each driver using the car-sharing services. Therefore, we defined the expression requirements in four steps to provide a familiar vehicle environment. In this paper, we introduced a system architecture to familiarize the unfamiliar vehicle environment of shared vehicles.
KSP Keywords
Car-sharing, Driving experience, Instrument cluster, Novice drivers, Personalized service, Safe driving, Service users, System architecture, User interface, Vehicle Environment, shared vehicle