| CPC G06F 9/451 (2018.02) [B60W 50/14 (2013.01)] | 11 Claims |
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11. A vehicle comprising:
a database configured to store historical data related to human-machine interactions, a vehicle status, and an environment status;
a sensing unit and a communication unit configured to collect or receive real-time data including data related to the human-machine interactions, the vehicle status, and the environment status; and
an apparatus for providing advice comprising:
a first interface configured to communicate with one or more human-machine interface APPs of one or more human-machine interfaces (HMIs) of the vehicle;
a second interface configured to receive historical data from the database and receive real-time data from the sensing unit and the communication unit; and
a processing module configured to:
calculate one or more predictions for a potential query from a user of the vehicle based on the historical data and the real-time data, wherein the one or more predictions are predetermined category-based predictions and comprise multiple categories of vehicle status, vehicle control, comfort settings, a user travel plan, and user preferences, wherein at least one of the categories is adjustable according to driving preferences of the user, wherein one or more new categories are added to the multiple categories when new information is obtained while the vehicle is traveling such that the performance of the advice providing apparatus is continuously updated while the vehicle is traveling,
wherein the category of vehicle status comprises vehicle abnormality related sub-categories and vehicle health related sub-categories, and the vehicle abnormality related sub-categories comprise an abnormal type, an abnormal risk level, and an abnormality response advice, wherein the vehicle health related sub-categories comprise a health index and a health recommendation, and
wherein the processing module is further configured to process data of the received data associated with at least one of the abnormal type, the abnormal risk level, the abnormality response advice, the health index, or the health recommendation sub-categories such that differences in prediction accuracy caused by at least one of vehicle software including the one or more HMI APPs, different operating systems, or different software versions of the vehicle software indicated by the data of the received data associated with at least one of the abnormal type, the abnormal risk level, the abnormality response advice, the health index, or the health recommendation sub-categories are minimized;
select a prediction from the calculated predictions that is associated with a nonrepresentational input received via at least one HMI of the one or more HMIs from the user;
generate an operation advice based on the selected prediction to minimize a number of interactions between the user and the at least one HMI; and
output the generated operation advice to an HMI APP of the one or more HMI APPs that corresponds to the at least one HMI.
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