Estimating user risk based on wireless location determination
US-2024302485-A1 · Sep 12, 2024 · US
US2016249170A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2016249170-A1 |
| Application number | US-201615145177-A |
| Country | US |
| Kind code | A1 |
| Filing date | May 3, 2016 |
| Priority date | Jan 31, 2013 |
| Publication date | Aug 25, 2016 |
| Grant date | — |
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A mobile data analysis system is provided that enables mobile device location tracking, secure messaging, and real-time sharing of intelligence information, among other features. In an embodiment, a mobile data analysis system may comprise one or more mobile device user accounts. For example, mobile device user accounts may be created for field analysts within an organization and used by the field analysts to authenticate with the mobile data analysis system using a mobile or other computing device. In an embodiment, mobile device user accounts may be grouped into one or more mobile device teams. Mobile device user accounts may be grouped into mobile device teams based on organizational roles, areas of responsibility, or any other characteristics. In an embodiment, mobile device teams may be associated with visibility settings that control user access to information associated with mobile device user accounts of particular mobile device teams.
Opening claim text (preview).
What is claimed is: 1 . A computer-implemented method, comprising: receiving location data of one or more mobile device teams, wherein each mobile device team comprises one or more mobile device user accounts; generating a map display comprising a user location icon for each of the mobile device user accounts of the one or more mobile device teams, wherein a user location icon is displayed at an approximate geographic location on the map display based on the received location data; wherein the method is performed by one or more computing devices. 2 . The method of claim 1 , further comprising configuring the map display to display a geographic area that includes each of the user location icons. 3 . The method of claim 1 , wherein the location data comprises one or more of latitudinal and longitudinal coordinates, elevation measures, cardinal direction information, and movement information. 4 . The method of claim 2 , further comprising: receiving updated location data for at least one of the one or more mobile device teams; determining that the updated location data indicates a particular geographic location of a particular mobile device user account that is outside of the displayed geographic area; reconfiguring the map to display a geographic area that includes the particular geographic location. 5 . The method of claim 2 , wherein configuring the map display to display a geographic area that includes each of the user location icons comprises selecting a map center location and a map zoom level. 6 . The method of claim 1 , further comprising: identifying, from the location data of the one or more mobile device teams, for each of the mobile device user accounts of the one or more mobile device teams, a last known location of a mobile device associated with the mobile device user account and an estimated accuracy of the last known location of the mobile device; wherein, for each user location icon, the approximate geographic location of the user location icon comprises the last known location of the mobile device user account; configuring the map display to indicate, for each user location icon, the estimated accuracy of the last known location of the mobile device. 7 . The method of claim 6 , wherein configuring the map display to indicate, for each user location icon, the estimate accuracy of the last known location of the mobile device comprises changing a color of the user location icon based, at least in part, on whether the mobile device has reported location data within a specified period of time. 8 . A non-transitory computer-readable medium storing one or more sequences of instructions, which when executed by one or more processors, cause the one or more processors to carry out the steps of: receiving location data of one or more mobile device teams, wherein each mobile device team comprises one or more mobile device user accounts; generating a map display comprising a user location icon for each of the mobile device user accounts of the one or more mobile device teams, wherein a user location icon is displayed at an approximate geographic location on the map display based on the received location data. 9 . The non-transitory computer readable medium of claim 8 , wherein the one or more instructions further comprise instructions which, when executed by one or more processors, cause the one or more processors to perform configuring the map display to display a geographic area that includes each of the user location icons. 10 . The non-transitory computer readable medium of claim 8 , wherein the location data comprises one or more of latitudinal and longitudinal coordinates, elevation measures, cardinal direction information, and movement information. 11 . The non-transitory computer readable medium of claim 9 , wherein the one or more instructions further comprise instructions which, when executed by one or more processors, cause the one or more processors to perform: receiving updated location data for at least one of the one or more mobile device teams; determining that the updated location data indicates a particular geographic location of a particular mobile device user account that is outside of the displayed geographic area; reconfiguring the map to display a geographic area that includes the particular geographic location. 12 . The non-transitory computer readable medium of claim 9 , wherein configuring the map display to display a geographic area that includes each of the user location icons comprises selecting a map center location and a map zoom level. 13 . The non-transitory computer readable medium of claim 8 , wherein the one or more instructions further comprise instructions which, when executed by one or more processors, cause the one or more processors to perform: identifying, from the location data of the one or more mobile device teams, for each of the mobile device user accounts of the one or more mobile device teams, a last known location of a mobile device associated with the mobile device user account and an estimated accuracy of the last known location of the mobile device; wherein, for each user location icon, the approximate geographic location of the user location icon comprises the last known location of the mobile device user account; configuring the map display to indicate, for each user location icon, the estimated accuracy of the last known location of the mobile device. 14 . The non-transitory computer readable medium of claim 13 , wherein configuring the map display to indicate, for each user location icon, the estimate accuracy of the last known location of the mobile device comprises changing a color of the user location icon based, at least in part, on whether the mobile device has reported location data within a specified period of time.
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