Abstract: Context-aware in-vehicle dashboard systems and methods are disclosed. Said systems and methods are capable of determining vehicle states and context using a variety of both vehicle-based and non-vehicle based data sources, and adapting to different vehicle states. Systems and methods in accordance with the present disclosure may be capable of presenting different information and/or notifications based on the vehicle state and the category/priority of the information and/or notifications.

Abstract: Context-aware in-vehicle dashboard systems and methods are disclosed. Said systems and methods are capable of determining vehicle states and context using a variety of both vehicle-based and non-vehicle based data sources, and adapting to different vehicle states. Systems and methods in accordance with the present disclosure may be capable of presenting different information and/or notifications based on the vehicle state and the category/priority of the information and/or notifications.

Abstract: A method, non-transitory computer readable medium, and an environment manager computing device comprises receiving at least one selection of one or more environments from a client computing device. An environment definition document associated with the selected one or more environments are obtained. Next, a virtual environment for the selected one or more environments is created based on the obtained environment definition document. Finally, the created virtual environment is provided to the requesting client computing device.

Abstract: Embodiments of the disclosure relate to methods and systems for providing personalized and context-aware suggestions to a user. The method includes providing a user profile. Further, the method includes establishing contextual information regarding the user. Thereafter, one or more suggestions are provided to the user based on the user profile and the contextual information. Subsequently, the user profile based on the user feedback in response to the suggestion is modified. The user profile may be modified using a machine learning algorithm executed on a processor in order to improve the quality of the personalized and context-aware suggestions. In certain embodiments, the personalized and context-aware suggestions can be provided while the user is in a vehicle or while the user is operating a vehicle.