Location-based automatic software application installation

• US 10,216,506 B2
• Filed: 04/07/2017
• Issued: 02/26/2019
• Est. Priority Date: 04/07/2017
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Armand, Cyril, Buda, Romain, Fleury, Julien, Varchon, Francois
• Primary Examiner(s): Khatri, Anil
• Application Number:
  US15/481,985
• Publication Number:
  US 20180293059A1
• Time in Patent Office: 690 Days
• Field of Search: 717168-178, 709203
• CPC Class Codes: G06F 8/61 Installation
• CPC Class Codes: H04L 67/34 involving the movement of software or configuration parameters network booting or remote initial program loading [RIPL] G06F9/4416
• CPC Class Codes: H04W 4/02 Services making use of location information
• CPC Class Codes: H04W 4/029 Location-based management or tracking services
• CPC Class Codes: H04W 4/50 Service provisioning or reconfiguring
• CPC Class Codes: H04W 4/60 Subscription-based services using application servers or record carriers, e.g. SIM application toolkits
• CPC Class Codes: H04W 8/245 from a network towards a terminal
• CPC Class Codes: H04W 84/12 WLAN [Wireless Local Area Networks]

Abstract

Installation of a location-based application. A method collects device data of a mobile device of a user, the device data including information indicative of a location at which the user will be present at a future time. The method identifies, based on the collecting the device data, a software application associated with that location. The method downloads an installer for the software application to the mobile device of the user. The method also automatically installs the software application on the mobile device based on a triggering event, the installing being prior to arrival of the user at the location at the future time.

Claims

1. A computer-implemented method comprising:

collecting device data of a mobile device of a user, the device data comprising information indicative of a location at which the user will be present at a future time;

identifying, based on the collecting the device data, a software application associated with that location;

downloading an installer for the software application to the mobile device of the user;

automatically installing the software application on the mobile device based on a triggering event, the installing being prior to arrival of the user at the location at the future time; and

automatically authorizing, during the automatic installation of the software application, at least one application permission required for the software application based on a received grant of one or more application permissions to a sandbox application.

2. The method of claim 1, further comprising:

initially installing the sandbox application on the mobile device; and

receiving from the user a grant of the one or more application permissions to the sandbox application;

wherein the automatic installation of the software application on the mobile device completes absent additional user-input to grant the at least one application permission.

3. The method of claim 1, wherein the identifying comprises:

providing the collected device data to a remote cognitive analysis engine;

invoking the remote cognitive analysis engine to cognitively analyze the device data; and

receiving from the remote cognitive analysis engine an identification of the software application based on a correlation between date or location information indicated by the device data and software application information from at least one mobile application store.

4. The method of claim 3, wherein the device data comprises application data of at least one application installed on the mobile device of the user, the at least one application comprising one or more selected from a group consisting of:

a messaging application, a social network application, an email application, and a calendar application of the mobile device.

5. The method of claim 3, wherein the identifying identifies the software application as being a resource that the user is expected to use at that location at the future time.

6. The method of claim 3, further comprising providing to the remote cognitive analysis engine utilization information about user engagement with the software application post-installation, to facilitate training the remote cognitive analysis system to identify useful applications for one or more users.

7. The method of claim 1, wherein the downloading the installer follows a prioritization of network connection type to use in downloading the installer, the prioritization emphasizing lower cost and faster networks relative to higher cost and slower networks.

8. The method of claim 7, wherein the downloading comprises delaying the downloading of the installer and awaiting connection of the mobile device to a Wi-Fi network.

9. The method of claim 8, wherein based on delaying the downloading of the installer to within a configurable timeframe of the future time and based on continuing to await connection of the mobile device to a Wi-Fi network, the downloading further comprises leveraging a next network connection type, other than a Wi-Fi network, to attempt the download.

10. The method of claim 1, wherein the software application comprises a mobile app for a business at the location or a mobile app for an event to be held at the location.

11. The method of claim 1, wherein the triggering event comprises detecting that the mobile device is within a configurable distance from the location.

12. The method of claim 1, wherein the triggering event comprises determining that the mobile device is expected to arrive at the location within a configurable timeframe.

13. A computer program product comprising:

a computer readable storage medium readable by a processing circuit and storing instructions for execution by the processing circuit for performing a method comprising;

collecting device data of a mobile device of a user, the device data comprising information indicative of a location at which the user will be present at a future time;

identifying, based on the collecting the device data, a software application associated with that location;

downloading an installer for the software application to the mobile device of the user; and

automatically installing the software application on the mobile device based on a triggering event, the installing being prior to arrival of the user at the location at the future time; and

automatically authorizing, during the automatic installation of the software application, at least one application permission required for the software application based on a received grant of one or more application permissions to a sandbox application.

14. The computer program product of claim 13, wherein the method further comprises:

initially installing the sandbox application on the mobile device; and

receiving from the user a grant of the one or more application permissions to the sandbox application;

wherein the automatic installation of the software application on the mobile device completes absent additional user-input to grant the at least one application permission.

15. The computer program product of claim 13, wherein the identifying comprises:

providing the collected device data to a remote cognitive analysis engine;

invoking the remote cognitive analysis engine to cognitively analyze the device data; and

receiving from the remote cognitive analysis engine an identification of the software application based on a correlation between date or location information indicated by the device data and software application information from at least one mobile application store.

16. The computer program product of claim 15, wherein the method further comprises providing to the remote cognitive analysis engine utilization information about user engagement with the software application post-installation, to facilitate training the remote cognitive analysis system to identify useful applications for one or more users.

17. The computer program product of claim 13, wherein the downloading the installer follows a prioritization of network connection type to use in downloading the installer, the prioritization emphasizing lower cost and faster networks relative to higher cost and slower networks, and wherein the downloading comprises delaying the downloading of the installer and awaiting connection of the mobile device to a Wi-Fi network.

18. A computer system comprising:

a memory; and

a processor in communication with the memory, wherein the computer system is configured to perform a method comprising;

collecting device data of a mobile device of a user, the device data comprising information indicative of a location at which the user will be present at a future time;

identifying, based on the collecting the device data, a software application associated with that location;

downloading an installer for the software application to the mobile device of the user;

automatically installing the software application on the mobile device based on a triggering event, the installing being prior to arrival of the user at the location at the future time; and

automatically authorizing, during the automatic installation of the software application, at least one application permission required for the software application based on a received grant of one or more application permissions to a sandbox application.

19. The computer system of claim 18, wherein the method further comprises:

initially installing a sandbox application on the mobile device; and

receiving from the user a grant of one or more application permissions to the sandbox application;

wherein the automatic installation of the software application on the mobile device completes absent additional user-input to grant the at least one application permission.

20. The computer system of claim 18, wherein the identifying comprises:

providing the collected device data to a remote cognitive analysis engine;

invoking the remote cognitive analysis engine to cognitively analyze the device data; and

receiving from the remote cognitive analysis engine an identification of the software application based on a correlation between date or location information indicated by the device data and software application information from at least one mobile application store.