Collaborative exploratory search in real-world context
Proceedings of the 20th ACM international conference on Information and knowledge management
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Information provision services in vehicle have started according to the progress of data communication infrastructure surrounding vehicles. In such information services, a large amount of data related to vehicles and drivers has been accumulated to the data-center and also been analyzed to provide proper information to drivers. Towards such technical trends surrounding vehicles, a cyber physical system for vehicle application is proposed here. In the proposed system, expected continuous spiral information flow for vehicles and drivers is described. In the data-center, accumulated information has been analyzed by intelligent information processing of data mining, then finally trusted information has been presented to drivers through human machine interface. According to the progress of the information processing technologies in the data-center, several potential applications are introduced mainly based on personal adaptation and big data analysis. It is revealed that destination and route was automatically predicted with 80% accuracy, topics in dialogue were also automatically extracted with 50% precision and driving skill could be separated into two different skill groups. As an experimental challenge to give a better driving advise, a haptic sense device onto a steering wheel was also fabricated and revealed that stimulating Meissner's corpuscles with a frequency range between 30 and 60 Hz was the best for the palm.