Abstract: The present disclosure relates to a mobile phone and a method for answering such a phone automatically without user input. In one embodiment, the mobile phone detects that a call is being received. A proximity sensor is then used to detect the presence of a nearby object. For example, this allows a determination to be made whether the mobile phone is within a pocket of the user while the phone is ringing. Then a determination is made whether the proximity sensor changes states. For example, if a user removes the phone from their pocket, the proximity sensor switches from detecting something proximal to detecting that the phone is no longer in the user's pocket. Next, a determination is made whether the proximity sensor is again next to an object, such as an ear. If so, the mobile phone can be automatically answered without further user input.

Abstract: Viral application distribution facilitates distribution of an application among users and increases likelihood of downloading the application by the users. A first device may receive information of an application from a second device through a short-range communication channel. The information may comprise identification information of the application without any personally identifiable information of the second device to protect privacy of a user of the second device. A version of the application that is compatible with the first device is determined by searching a catalog using the identification information of the application. The compatible version of the application may then be downloaded or obtained by the first device. Location-based viral distribution may also be performed between devices that visit a location, even at different times.

Abstract: Apparatus and methods are disclosed for selecting one or more mobile device applications using context data describing the current environment of a mobile device and application metadata describing environment conditions where applications are more likely to be relevant, in order to improve the experience of discovering, downloading, and installing mobile device applications. According to one embodiment, a method comprises associating metadata with mobile device applications automatically receiving context data representing a current geographical location from a mobile phone, searching the metadata to determine which applications are likely of interest based on the current geographical location, and transmitting notification data to the mobile phone indicating the determined applications.

Abstract: Determining geospatial patterns from device data collected from a plurality of computing devices. The devices represent, for example, a plurality of sources providing the device data. The device data describes the computing devices and/or environments thereof. Some embodiments present the determined patterns to users for editing, update maps with the edited patterns, and distribute the maps to the users. The maps are stored to create a searchable map library.

Abstract: Brokering locations for the completion of tasks. Location information for a plurality of sellers is maintained. Buyers define tasks to be performed at particular task locations at particular times. A brokering system notifies the sellers of the defined tasks, and selects sellers near the task locations to complete the tasks. The sellers complete the tasks to produce output such as a physical or digital deliverable. Upon verifying completion of the task, the brokering system arranges the transfer of compensation between the buyers and the sellers. In some embodiments, the brokering system selects the sellers via an auction to enable the performance of various buyer-defined tasks that are location-specific. Further, location-based applications may be built on top of the brokering system.