Automotive virtual personal assistant

A virtual personal assistant embodied in one or more non-transitory machine readable storage media, executable by control circuitry, the control circuitry configured to:

• receive data from one or more locally-based or cloud-based data sources, the data including a combination of real-time and stored data, wherein the data includes user-specific data related to prior user-vehicle interactions;
• evaluating the received data to interpret and contextualize the real-time data and the stored data to provide a notification regarding (i) a condition within the cabin space without the need for the user to make a direct observation of the condition, and (ii) a recommended action based on the prior user-vehicle interactions,
• wherein interpreting and contextualizinu the real-time data and the stored data includes recognizing a change in a status of the vehicle based on the user modifying the status of the vehicle, querying the one or more locally-based data sources and cloud-based data sources to evaluate a current state of the user and the vehicle, anticipating the user's actions in a context of the current state of the vehicle, and identifying a potential situation including an error that the user should be made aware of in the context of the current state of the vehicle and predicted user actions;
• and
• communicating the notification to a user via audio, visual, or a combination thereof.

A virtual personal assistant embodied in one or more non-transitory machine readable storage media, executable by control circuitry, the control circuitry configured to:

• determine a change in vehicle state;
• evaluate data of one or more locally-based or cloud-based data sources, or a combination thereof, wherein the data includes user-specific data related to prior user-vehicle interactions;
• determine an anticipated user action in context of the vehicle state;
• determine whether a user of the vehicle should be notified of a predicted vehicle event as a function of the evaluation of the one or more locally-based or cloud-based data sources and the determined anticipated user action,
• wherein evaluating data of the one or more locally-based or cloud-based data sources includes recognizing a change in a status of the vehicle based on the user modifying the status of the vehicle, querying the one or more locally-based data sources and cloud-based data sources to evaluate a current state of the user and the vehicle, anticipating the user's actions in a context of the current state of the vehicle, and identifying a potential situation including an error that the user should be made aware of in the context of the current state of the vehicle and predicted user actions;
• and
• notify the user of the predicted vehicle event including a recommended action based on the prior user-vehicle interactions.