Abstract: A user of a mobile device may use the technique to obtain future location-based situation awareness, e.g., a future location route displayed on the user's mobile device. That future location route comprises the user's future locations through time and space, e.g., a set of planned meetings at successive locations in a geographic area. A service that provides the user's mobile device with the future location route may also alert the user of potential threats to the user's planned activities, such as a restaurant being over-booked. On a permission basis, the user's mobile device may also receive a future location route for at least one other person associated with the user in a social network. The other person's future location route may be overlaid on the user's route so that one or both individuals receive advance notifications of their potential to have their respective paths “crossing” during a future time period.

Abstract: A user of a mobile device may use the technique to obtain future location-based situation awareness, e.g., a future location route displayed on the user's mobile device. That future location route comprises the user's future locations through time and space, e.g., a set of planned meetings at successive locations in a geographic area. A service that provides the user's mobile device with the future location route may also alert the user of potential threats to the user's planned activities, such as a restaurant being over-booked. On a permission basis, the user's mobile device may also receive a future location route for at least one other person associated with the user in a social network. The other person's future location route may be overlaid on the user's route so that one or both individuals receive advance notifications of their potential to have their respective paths “crossing” during a future time period.

Abstract: A method for providing automatic crash management (ACM) is provided. An ACM application is enabled on a mobile device. Data is collected from a plurality of sensors associated with the mobile device. The data from the plurality of sensors is processed with the ACM application. The processed data is monitored with accident logic of the ACM application running on the mobile device to determine whether a crash has been detected. The data from the plurality of sensors is automatically streamed to the off-board server for further analysis upon detection of the crash.

Abstract: A technique for providing a mobile device user with a “when to leave” alarm on his or her mobile device. The user has scheduled an appointment at a given time and location in the user's personal information manager (PIM) executing on the mobile device. A representative PIM is a calendar on the mobile device. The “when to leave” alarm is provided to the end user in the form of a display widget (or “countdown alarm”) that automatically activates a given time (e.g., 30 minutes) before a latest departure time for an event in the user's PIM.

Abstract: A method for providing insurance underwriting using user-centric data includes receiving data reported from an application running on a telematics unit or a mobile device, matching the received data to known locations, and generating a score based on the reported data and the matched data. The reported data and the matched data are used to determine miles traveled. A valid trip is determined. A valid driver is determined to associate with the valid trip. A sum of valid trips is determined over a period of time. Location data for the mobile device or the telematics unit is determined. The location data is determined using network-based resources. The location data is determined using the mobile device or the telematics unit. The location data can be determined using a combination of network-based resources and the mobile device or the telematics unit. A change in location is categorized into a trip signature.

Abstract: A risk profile system determines a risk profile of a driver of a vehicle using improved driver metrics. Driver characteristics of a driver are determined as the driver encounters one or more locations that have an associated weighted accident history. The determined driver characteristics of the driver are compared to a normal distribution curve of driving characteristic data at one or more of the locations encountered by the driver. A risk profile system determines improved driver metrics. A weighted accident history is determined for one or more locations. A normal distribution curve is determined for driving characteristic data of a plurality of drivers at each of the one or more locations.

Abstract: A technique for providing a mobile device user with a “when to leave” alarm on his or her mobile device. The user has scheduled an appointment at a given time and location in the user's personal information manager (PIM) executing on the mobile device. A representative PIM is a calendar on the mobile device. The “when to leave” alarm is provided to the end user in the form of a display widget (or “countdown alarm”) that automatically activates a given time (e.g., 30 minutes) before a latest departure time for an event in the user's PIM.

Abstract: A user of a mobile device may use the technique to obtain future location-based situation awareness, e.g., a future location route displayed on the user's mobile device. That future location route comprises the user's future locations through time and space, e.g., a set of planned meetings at successive locations in a geographic area. A service that provides the user's mobile device with the future location route may also alert the user of potential threats to the user's planned activities, such as a restaurant being over-booked. On a permission basis, the user's mobile device may also receive a future location route for at least one other person associated with the user in a social network. The other person's future location route may be overlaid on the user's route so that one or both individuals receive advance notifications of their potential to have their respective paths “crossing” during a future time period.

Abstract: A technique for providing a mobile device user with a “when to leave” alarm on his or her mobile device. The user has scheduled an appointment at a given time and location in the user's personal information manager (PIM) executing on the mobile device. A representative PIM is a calendar on the mobile device. The “when to leave” alarm is provided to the end user in the form of a display widget (or “countdown alarm”) that automatically activates a given time (e.g., 30 minutes) before a latest departure time for an event in the user's PIM.

Abstract: A business or social networking method described herein enables mobile device users to meet one another, on a permission basis. Whether a given pair of mobile device users are introduced depends on whether a server determines they are in intellectual or “cognitive” proximity, which is typically a function of one or more factors. Individuals who match to a given degree or threshold are said to be in intellectual proximity. When given mobile devices users are within physical proximity of one another during an overlapping time window, the server determines whether the users are also within a given intellectual proximity. If so, and if both users have opted to receive new introductions, the server issues a mutual collaboration opportunity message to the users to determine whether they desire an introduction. If the mobile device users agree to be introduced, the server establishes a direct private messaging session between them.

Abstract: A technique for providing a mobile device user with a “when to leave” alarm on his or her mobile device. The user has scheduled an appointment at a given time and location in the user's personal information manager (PIM) executing on the mobile device. A representative PIM is a calendar on the mobile device. The “when to leave” alarm is provided to the end user in the form of a display widget (or “countdown alarm”) that automatically activates a given time (e.g., 30 minutes) before a latest departure time for an event in the user's PIM.

Abstract: A business or social networking method is operative in a server. The method enables mobile device users to meet one another, on a permission basis. The determination of whether a given pair of mobile device users are introduced depends on whether the server determines they are in intellectual or “cognitive” proximity, which is typically a function of one or more factors, such as: each user's reciprocal networking objective, the nature of the industry in which the user works, the user's level within the management hierarchy of his or her company, any specialty function the individual may possess, and so on. Individuals who are matched in one or more of such attributes to a given degree or threshold are said to be in intellectual proximity. According to the invention, when given mobile devices users are within physical proximity of one another during an overlapping time window, the server determines whether the users are also within a given intellectual proximity.

Abstract: A business or social networking method is operative in a server. The method enables mobile device users to meet one another, on a permission basis. The determination of whether a given pair of mobile device users are introduced depends on whether the server determines they are in intellectual or “cognitive” proximity, which is typically a function of one or more factors, such as: each user's reciprocal networking objective, the nature of the industry in which the user works, the user's level within the management hierarchy of his or her company, any specialty function the individual may possess, and so on. Individuals who are matched in one or more of such attributes to a given degree or threshold are said to be in intellectual proximity. According to the invention, when given mobile devices users are within physical proximity of one another during an overlapping time window, the server determines whether the users are also within a given intellectual proximity.

Abstract: A business or social networking method is operative in a server. The method enables mobile device users to meet one another, on a permission basis. The determination of whether a given pair of mobile device users are introduced depends on whether the server determines they are in intellectual or “cognitive” proximity, which is typically a function of one or more factors, such as: each user's reciprocal networking objective, the nature of the industry in which the user works, the user's level within the management hierarchy of his or her company, any specialty function the individual may possess, and so on. Individuals who are matched in one or more of such attributes to a given degree or threshold are said to be in intellectual proximity. According to the invention, when given mobile devices users are within physical proximity of one another during an overlapping time window, the server determines whether the users are also within a given intellectual proximity.