Abstract: A processor-based personal electronic device (such as a smartphone) is programmed to automatically respond to data sent by various sensors from which the user's activity may be inferred. One or more alarms on the device may be temporarily disabled when sensor data indicates that the user is asleep. One or more of the sensors may be worn by the user and remote from the device. A wireless communication link may be used by the device to obtain remote sensor data. Data from on-board sensors in the device—such as motion sensors, location sensors, ambient light sensors, and the like—may also be used to deduce the user's current activity. User data (such as calendar entries) may also be used to determine likely user activity and set alarms accordingly. Biometric data from a second, nearby person may also be used to automatically select certain alarm modes on a first person's device.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for retrieving local information on a user device include detecting itinerary information stored by a first application on a user device, and identifying a travel destination based on the detected itinerary information. The travel destination is communicated to a second application executable on a user device, and the travel destination is stored in association with the second application. The second application is adapted to retrieve local information based on an identified geographic location, and local information for the travel destination is provided through the second application in response to a user interaction with the second application and based on a triggering threshold associated with the itinerary information.

Abstract: A processor-based personal electronic device (such as a smartphone) is programmed to automatically respond to data sent by various sensors from which the user's activity may be inferred. One or more alarms on the device may be temporarily disabled when sensor data indicates that the user is asleep. One or more of the sensors may be worn by the user and remote from the device. A wireless communication link may be used by the device to obtain remote sensor data. Data from on-board sensors in the device—such as motion sensors, location sensors, ambient light sensors, and the like—may also be used to deduce the user's current activity. User data (such as calendar entries) may also be used to determine likely user activity and set alarms accordingly. Biometric data from a second, nearby person may also be used to automatically select certain alarm modes on a first person's device.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for retrieving local information on a user device include detecting itinerary information stored by a first application on a user device, and identifying a travel destination based on the detected itinerary information. The travel destination is communicated to a second application executable on a user device, and the travel destination is stored in association with the second application. The second application is adapted to retrieve local information based on an identified geographic location, and local information for the travel destination is provided through the second application in response to a user interaction with the second application and based on a triggering threshold associated with the itinerary information.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for retrieving local information on a user device include detecting itinerary information stored by a first application on a user device, and identifying a travel destination based on the detected itinerary information. The travel destination is communicated to a second application executable on a user device, and the travel destination is stored in association with the second application. The second application is adapted to retrieve local information based on an identified geographic location, and local information for the travel destination is provided through the second application in response to a user interaction with the second application and based on a triggering threshold associated with the itinerary information.

Abstract: A processor-based personal electronic device (such as a smartphone) is programmed to automatically respond to data sent by various sensors from which the user's activity may be inferred. One or more alarms on the device may be temporarily disabled when sensor data indicates that the user is asleep. One or more of the sensors may be worn by the user and remote from the device. A wireless communication link may be used by the device to obtain remote sensor data. Data from on-board sensors in the device—such as motion sensors, location sensors, ambient light sensors, and the like—may also be used to deduce the user's current activity. User data (such as calendar entries) may also be used to determine likely user activity and set alarms accordingly. Biometric data from a second, nearby person may also be used to automatically select certain alarm modes on a first person's device.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for retrieving local information on a user device include detecting itinerary information stored by a first application on a user device, and identifying a travel destination based on the detected itinerary information. The travel destination is communicated to a second application executable on a user device, and the travel destination is stored in association with the second application. The second application is adapted to retrieve local information based on an identified geographic location, and local information for the travel destination is provided through the second application in response to a user interaction with the second application and based on a triggering threshold associated with the itinerary information.

Abstract: Sensor-assisted location technology is disclosed. Primary location technologies, such as GPS, can be used to determine the current location (e.g., a location fix) of a location-enabled device. In some instances, the primary location technology may be unreliable and/or consume more power than an alternative location technology. Sensors, such as accelerometers, compasses, gyrometers, and the like, can be used to supplement and/or increase the accuracy of location data. For example, a location-enabled device can identify an area with unreliable GPS location data and use sensors to calculate a more accurate location. Areas identified may be crowd-sourced. Sensors can be used to identify errors in the location data provided by primary location technology. Sensors can be used to modify a sampling interval of the primary location technology. Sensor can be used to smooth motion on a user interface between sampling intervals of the primary location technology.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for retrieving local information on a user device include detecting itinerary information stored by a first application on a user device, and identifying a travel destination based on the detected itinerary information. The travel destination is communicated to a second application executable on a user device, and the travel destination is stored in association with the second application. The second application is adapted to retrieve local information based on an identified geographic location, and local information for the travel destination is provided through the second application in response to a user interaction with the second application and based on a triggering threshold associated with the itinerary information.

Abstract: A mobile device can obtain wireless network signal strength map data that indicates, for various nearby geographical regions, the wireless network signal strength in each such region. A mobile device can transmit that data to a vehicular navigation system responsible for automatically selecting a high-quality route of vehicular travel between a specified source and destination. The system can take the wireless network signal map data into account when selecting that route. When selecting from among multiple different routes of vehicular travel between a specified source and destination, the system may employ an algorithm that considers wireless network signal strengths along those routes, in addition to the other factors. Consequently, the system can select a longer route having better signal strength over a shorter route having worse signal strength. The system can present the selected route within a set of suggested routes, potentially along with reasons for each route's suggestion.

Abstract: Techniques are described for seamlessly transitioning from a map that displays out-of-doors elements to a map that displays indoor elements, in response to detecting a transition event. The transition event may be, for example, that a navigation system that is generating the out-of-doors map has moved to an indoors location. Techniques are also provided for navigating to a parking spot in a parking structure. Specifically, users may search for parking spots that satisfy specific criteria. The search for a parking spot that satisfies the criteria may be initiated at the time a trip begins, or may be automatically triggered by some event. For example, a search for available parking spots near a designated destination may be automatically initiated as a user comes within a predetermined distance of the designated destination.

Abstract: A processor-based personal electronic device (such as a smartphone) is programmed to automatically respond to data sent by various sensors from which the user's activity may be inferred. One or more alarms on the device may be temporarily disabled when sensor data indicates that the user is asleep. One or more of the sensors may be worn by the user and remote from the device. A wireless communication link may be used by the device to obtain remote sensor data. Data from on-board sensors in the device—such as motion sensors, location sensors, ambient light sensors, and the like—may also be used to deduce the user's current activity. User data (such as calendar entries) may also be used to determine likely user activity and set alarms accordingly. Biometric data from a second, nearby person may also be used to automatically select certain alarm modes on a first person's device.

Abstract: Electronic equipment in vehicles may transmit and receive wireless messages. Each wireless message that is transmitted by a transmitter may include information on the vehicle from which it is being transmitted, information on the location of the transmitter within the vehicle, and other vehicle status information. Receiving equipment in vehicles may be used to receive the transmitted messages. Received signal strength indicator information may be associated with the transmitted messages. Using the received signal strength indicator information and information on the locations of the transmitters within the vehicles in which the transmitters are installed, equipment in a receiving vehicle may determine locations for nearby vehicles. Alerts may be presented to a driver of a vehicle and other suitable actions may be taken based on the locations of nearby vehicles, vehicle type information, and other information regarding traffic in the vicinity of the driver.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for retrieving local information on a user device include detecting itinerary information stored by a first application on a user device, and identifying a travel destination based on the detected itinerary information. The travel destination is communicated to a second application executable on a user device, and the travel destination is stored in association with the second application. The second application is adapted to retrieve local information based on an identified geographic location, and local information for the travel destination is provided through the second application in response to a user interaction with the second application and based on a triggering threshold associated with the itinerary information.

Abstract: A processor-based personal electronic device (such as a smartphone) is programmed to automatically respond to data sent by various sensors from which the user's activity may be inferred. One or more alarms on the device may be temporarily disabled when sensor data indicates that the user is asleep. One or more of the sensors may be worn by the user and remote from the device. A wireless communication link may be used by the device to obtain remote sensor data. Data from on-board sensors in the device—such as motion sensors, location sensors, ambient light sensors, and the like—may also be used to deduce the user's current activity. User data (such as calendar entries) may also be used to determine likely user activity and set alarms accordingly. Biometric data from a second, nearby person may also be used to automatically select certain alarm modes on a first person's device.

Abstract: Sensor-assisted location technology is disclosed. Primary location technologies, such as GPS, can be used to determine the current location (e.g., a location fix) of a location-enabled device. In some instances, the primary location technology may be unreliable and/or consume more power than an alternative location technology. Sensors, such as accelerometers, compasses, gyrometers, and the like, can be used to supplement and/or increase the accuracy of location data. For example, a location-enabled device can identify an area with unreliable GPS location data and use sensors to calculate a more accurate location. Areas identified may be crowd-sourced. Sensors can be used to identify errors in the location data provided by primary location technology. Sensors can be used to modify a sampling interval of the primary location technology. Sensor can be used to smooth motion on a user interface between sampling intervals of the primary location technology.

Abstract: A processor-based personal electronic device (such as a smartphone) is programmed to automatically respond to data sent by various sensors from which the user's activity may be inferred. One or more alarms on the device may be temporarily disabled when sensor data indicates that the user is asleep. One or more of the sensors may be worn by the user and remote from the device. A wireless communication link may be used by the device to obtain remote sensor data. Data from on-board sensors in the device—such as motion sensors, location sensors, ambient light sensors, and the like—may also be used to deduce the user's current activity. User data (such as calendar entries) may also be used to determine likely user activity and set alarms accordingly. Biometric data from a second, nearby person may also be used to automatically select certain alarm modes on a first person's device.

Abstract: A mobile device can obtain wireless network signal strength map data that indicates, for various nearby geographical regions, the wireless network signal strength in each such region. A mobile device can transmit that data to a vehicular navigation system responsible for automatically selecting a high-quality route of vehicular travel between a specified source and destination. The system can take the wireless network signal map data into account when selecting that route. When selecting from among multiple different routes of vehicular travel between a specified source and destination, the system may employ an algorithm that considers wireless network signal strengths along those routes, in addition to the other factors. Consequently, the system can select a longer route having better signal strength over a shorter route having worse signal strength. The system can present the selected route within a set of suggested routes, potentially along with reasons for each route's suggestion.

Abstract: An electronic device with one or more processors and memory includes a procedure for sharing information with a third party recipient. In some embodiments, the device receives a speech input from a first user, the speech input specifying a second user different from the first user, and an information item to be shared with the second user. In response to the speech input, the device initiates a background process during which a digital assistant searches for the information item and causes the information item to be sent to the second user without further review and instruction from the first user.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for retrieving local information on a user device include detecting itinerary information stored by a first application on a user device, and identifying a travel destination based on the detected itinerary information. The travel destination is communicated to a second application executable on a user device, and the travel destination is stored in association with the second application. The second application is adapted to retrieve local information based on an identified geographic location, and local information for the travel destination is provided through the second application in response to a user interaction with the second application and based on a triggering threshold associated with the itinerary information.