Abstract: In one example, a computing device includes one or more user input detection components, and one or more processors configured to receive an indication of a first user input detected by the one or more user input detection components, responsive to receiving the indication of the first user input, adjust a level of an attention buffer at a defined rate; responsive to determining that the level of the attention buffer satisfies a first threshold, prevent further interaction with a user interface of the computing device, responsive to determining that an indication of a second user input has not been received within a time period, adjust a level of the attention buffer, and responsive to determining that the level of the attention buffer satisfies a second threshold, allow further interaction with the user interface.

Abstract: In one example, a computing device includes one or more user input detection components, and one or more processors configured to receive an indication of a first user input detected by the one or more user input detection components, responsive to receiving the indication of the first user input, adjust a level of an attention buffer at a defined rate; responsive to determining that the level of the attention buffer satisfies a first threshold, prevent further interaction with a user interface of the computing device, responsive to determining that an indication of a second user input has not been received within a time period, adjust a level of the attention buffer, and responsive to determining that the level of the attention buffer satisfies a second threshold, allow further interaction with the user interface.

Abstract: In one example, a computing device includes one or more user input detection components, and one or more processors configured to receive an indication of a first user input detected by the one or more user input detection components, responsive to receiving the indication of the first user input, adjust a level of an attention buffer at a defined rate; responsive to determining that the level of the attention buffer satisfies a first threshold, prevent further interaction with a user interface of the computing device, responsive to determining that an indication of a second user input has not been received within a time period, adjust a level of the attention buffer, and responsive to determining that the level of the attention buffer satisfies a second threshold, allow further interaction with the user interface.

Abstract: A multi-tenant system is provided for coordinating spectrum allocation of a plurality of high-altitude networks (HANs) so that at least one high-altitude platform (HAP) in one of the plurality of HANs is controlled to avoid interfering with a HAP in at least one other HAN of the plurality of HANs. The multi-tenant system comprises a database including: 1) a first interface, 2) a second interface, 3) at least one service module, and 4) a data storage device. The multi-tenant system further comprises a communication controller coupled to the database, the communication controller configured to control various characteristics of HAPs in their respective HANs and links therebetween based on data maintained in the data storage device of the database. The data includes regulatory and coordination constraints provided via the first interface and non-regulatory and external coordination information provided via the second interface.

Abstract: A multi-tenant system is provided for coordinating spectrum allocation of a plurality of high-altitude networks (HANs) so that at least one high-altitude platform (HAP) in one of the plurality of HANs is controlled to avoid interfering with a HAP in at least one other HAN of the plurality of HANs. The multi-tenant system comprises a database including: 1) a first interface, 2) a second interface, 3) at least one service module, and 4) a data storage device. The multi-tenant system further comprises a communication controller coupled to the database, the communication controller configured to control various characteristics of HAPs in their respective HANs and links therebetween based on data maintained in the data storage device of the database. The data includes regulatory and coordination constraints provided via the first interface and non-regulatory and external coordination information provided via the second interface.

Abstract: In one example, a computing device includes one or more user input detection components, and one or more processors configured to receive an indication of a first user input detected by the one or more user input detection components, responsive to receiving the indication of the first user input, adjust a level of an attention buffer at a defined rate; responsive to determining that the level of the attention buffer satisfies a first threshold, prevent further interaction with a user interface of the computing device, responsive to determining that an indication of a second user input has not been received within a time period, adjust a level of the attention buffer, and responsive to determining that the level of the attention buffer satisfies a second threshold, allow further interaction with the user interface.

Abstract: In one example, a computing device includes one or more user input detection components, and one or more processors configured to receive an indication of a first user input detected by the one or more user input detection components, responsive to receiving the indication of the first user input, adjust a level of an attention buffer at a defined rate; responsive to determining that the level of the attention buffer satisfies a first threshold, prevent further interaction with a user interface of the computing device, responsive to determining that an indication of a second user input has not been received within a time period, adjust a level of the attention buffer, and responsive to determining that the level of the attention buffer satisfies a second threshold, allow further interaction with the user interface.

Abstract: A multi-tenant system is provided for coordinating spectrum allocation of a plurality of high-altitude networks (HANs) so that at least one high-altitude platform (HAP) in one of the plurality of HANs is controlled to avoid interfering with a HAP in at least one other HAN of the plurality of HANs. The multi-tenant system comprises a database including: 1) a first interface, 2) a second interface, 3) at least one service module, and 4) a data storage device. The multi-tenant system further comprises a communication controller coupled to the database, the communication controller configured to control various characteristics of HAPs in their respective HANs and links therebetween based on data maintained in the data storage device of the database. The data includes regulatory and coordination constraints provided via the first interface and non-regulatory and external coordination information provided via the second interface.

Abstract: In one example, a computing device includes one or more user input detection components, and one or more processors configured to receive an indication of a first user input detected by the one or more user input detection components, responsive to receiving the indication of the first user input, adjust a level of an attention buffer at a defined rate; responsive to determining that the level of the attention buffer satisfies a first threshold, prevent further interaction with a user interface of the computing device, responsive to determining that an indication of a second user input has not been received within a time period, adjust a level of the attention buffer, and responsive to determining that the level of the attention buffer satisfies a second threshold, allow further interaction with the user interface.

Abstract: In one example, a computing device includes one or more user input detection components, and one or more processors configured to receive an indication of a first user input detected by the one or more user input detection components, responsive to receiving the indication of the first user input, adjust a level of an attention buffer at a defined rate; responsive to determining that the level of the attention buffer satisfies a first threshold, prevent further interaction with a user interface of the computing device, responsive to determining that an indication of a second user input has not been received within a time period, adjust a level of the attention buffer, and responsive to determining that the level of the attention buffer satisfies a second threshold, allow further interaction with the user interface.

Abstract: A driver may provide preferred vehicle setting data to a system through a user interface or the system may detect the preferred driver vehicle setting data by communicating with a particular vehicle. The preferred vehicle setting data may be generalized/abstracted so that the data is not specific to any one vehicle. When the driver sits in any vehicle, the system may identify the type of vehicle and translate the abstracted driver vehicle setting data to driver vehicle setting data that is particular to the identified vehicle.

Abstract: In one example, a computing device includes one or more user input detection components, and one or more processors configured to receive an indication of a first user input detected by the one or more user input detection components, responsive to receiving the indication of the first user input, adjust a level of an attention buffer at a defined rate; responsive to determining that the level of the attention buffer satisfies a first threshold, prevent further interaction with a user interface of the computing device, responsive to determining that an indication of a second user input has not been received within a time period, adjust a level of the attention buffer, and responsive to determining that the level of the attention buffer satisfies a second threshold, allow further interaction with the user interface.

Abstract: Vehicle setting data received from a vehicle is processed according to preferences and rules set forth by the vehicle's driver. The processed vehicle setting data can be shared with various third-parties.

Abstract: Driver vehicle setting values are crowd-sourced from multiple users in an anonymous manner. The crowd-sourced driver vehicle setting values are processed using machine learning to generate one or more vehicle setting recommendations to other users. The recommendations may be for vehicle settings that the user has not yet activated or vehicle setting values that are frequently used for a particular vehicle.

Abstract: A driver may provide preferred vehicle setting data to a system through a user interface or the system may detect the preferred driver vehicle setting data by communicating with a particular vehicle. The preferred vehicle setting data may be generalized/abstracted so that the data is not specific to any one vehicle. When the driver sits in any vehicle, the system may identify the type of vehicle and translate the abstracted driver vehicle setting data to driver vehicle setting data that is particular to the identified vehicle.