Digital footprint visual navigation

Patent metadata

Field	Value
Publication number	US-12034816-B2
Application number	US-202318313458-A
Country	US
Kind code	B2
Filing date	May 8, 2023
Priority date	Mar 20, 2019
Publication date	Jul 9, 2024
Grant date	Jul 9, 2024

Abstract

Methods, computer-readable media, software, and apparatuses may assist the user in understanding their unique digital footprint and the connections from the data within the footprint to the user's connections online and in the physical world. The determined information may be visually displayed to the user along with recommendations regarding digital safety.

First claim

What is claimed is:

1. A method comprising:
determining, by a computer, a plurality of accounts of a user by analyzing one or more applications on a mobile phone and determining a plurality of businesses, each interacted with by at least one analyzed application;
determining, by the computer, a category, from a predefined schema of categories, for each account of the plurality of accounts, wherein the category is based at least in part on a sensitivity of information shared via interactions with a respective business using the at least one analyzed application, the sensitivity determined based at least on a type of the respective business, wherein the schema classifies categories corresponding to at least low, moderate and high sensitivity information shared via the account, and wherein the determining includes determining at least one of the plurality of accounts in each category of the categories; and
displaying, by the computer and on a user interface, identifiers corresponding to the plurality of accounts, wherein the identifiers are displayed in groups according to the category.

2. The method of claim 1 , wherein the applications comprise at least social media applications.

3. The method of claim 2 , wherein the categories of the schema includes at least acquaintances, friends, and best friends.

4. The method of claim 3 , wherein the acquaintances comprise accounts sharing information having a low sensitivity, the friends comprise accounts sharing information having a moderate sensitivity, and the best friends comprise accounts sharing information having a high sensitivity.

5. The method of claim 3 , wherein identifiers corresponding to the acquaintances, identifiers corresponding to the friends, and identifiers corresponding to the best friends are displayed with decreasing distance from an identifier of the user, with the identifiers corresponding to the acquaintances being displayed farthest from the identifier of the user and with the identifiers corresponding to the best friends being displayed closest to the identifier of the user.

6. The method of claim 1 , further comprising:
after displaying the identifiers, receiving, by the computer, a request to change a categorization of one account; and
displaying, by the computer and on the user interface, the identifiers corresponding to the accounts, wherein an identifier corresponding the one account is displayed according to the changed categorization.

7. The method of claim 1 , wherein the category is based at least in part based on at least one of frequency of communication, directionality of communication, or a number of channels used for communication with the respective business.

8. A method comprising:
determining, by a computer, a plurality of accounts of a user by analyzing at least one email application on a mobile phone and determining a plurality of businesses, each interacted with by the at least one email application;
determining, by the computer, a category, from a predefined schema of categories, for each account of the plurality of accounts, wherein the category is based at least in part on a sensitivity of information shared via interactions with a respective business using the at least one analyzed email application, the sensitivity determined based at least on a type of the respective business, wherein the schema classifies categories corresponding to at least low, moderate and high sensitivity information shared via the account, and wherein the determining includes determining at least one of the plurality of accounts in each category of the categories; and
displaying, by the computer and on a user interface, identifiers corresponding to the plurality of accounts, wherein the identifiers are displayed in groups according to the category.

9. The method of claim 8 , wherein the categories of the schema include at least acquaintances, friends, and best friends.

10. The method of claim 9 , wherein the acquaintances comprise accounts sharing information having a low sensitivity, the friends comprise accounts sharing information having a moderate sensitivity, and the best friends comprise accounts sharing information having a high sensitivity.

11. The method of claim 9 , wherein identifiers corresponding to the acquaintances, identifiers corresponding to the friends, and identifiers corresponding to the best friends are displayed with decreasing distance from an identifier of the user, with the identifiers corresponding to the acquaintances being displayed farthest from the identifier of the user and with the identifiers corresponding to the best friends being displayed closest to the identifier of the user.

12. The method of claim 8 , further comprising:
after displaying the identifiers, receiving, by the computer, a request to change a categorization of one account; and
displaying, by the computer and on the user interface, the identifiers corresponding to the accounts, wherein an identifier corresponding the one account is displayed according to the changed categorization.

13. The method of claim 8 , wherein the category is based at least in part based on at least one of frequency of communication, directionality of communication, or a number of channels used for communication with the respective business.

14. A method comprising:
determining, by a computer, a plurality of accounts of a user by analyzing at least one email or social media application on a mobile phone and determining a plurality of businesses, each interacted with by the at least one email or social media application;
determining, by the computer, a category, from a predefined schema of categories, for each account of the plurality of accounts, wherein the category is based at least in part on a number of channels used for communication with a respective business, indicated at least in part by a number of the analyzed at least one email or social media application used for communication with the respective business, and including at least communications via the analyzed at least one email or social media application, wherein the schema classifies categories corresponding to at least three levels of relationship strength, and wherein the determining includes determining at least one of the plurality of accounts in each category of the categories; and
displaying, by the computer and on a user interface, identifiers corresponding to the plurality of accounts, wherein the identifiers are displayed in groups according to the category.

15. The method of claim 14 , wherein the categories of the schema include at least acquaintances, friends and best friends.

16. The method of claim 14 , wherein the category is based at least in part on the number of channels used for communication and wherein a weaker level of relationship strength defined by the schema includes use of fewer communication channels than a stronger level of relationship strength.

17. The method of claim 14 , wherein the category is based at least in part on a directionality of communication and wherein a weaker level of relationship strength defined by the schema includes fewer bi-directional communication channels than a stronger level of relationship strength.

18. The method of claim 14 , wherein the category is based at least in part on a frequency of communication and wherein a weaker level of relationship strength defined by the schema includes fewer communications than a stronger level of relationship strength.

19. The method of claim 1 , wherein the computer includes at least one of a personal computer, a server, a laptop computer

Assignees

• Allstate Insurance Co

Inventors

• Park Jason
• Deguia Nicolette
• Hansen Mark
• Liu Dongmin
• Kalke Amaeya
• Montero Sergio Gutierrez
• Parkinson John
• Weidmann Cindy

Classifications

• H04L67/535

  Tracking the activity of the user (network monitoring arrangements H04L43/00; recording of computer activity G06F11/34) · CPC title

• H04L63/1416

  Event detection, e.g. attack signature detection · CPC title

• G06Q40/02 Primary

  Banking, e.g. interest calculation or account maintenance (credit or loans G06Q40/03) · CPC title

• H04L51/046

  Interoperability with other network applications or services · CPC title

• G06F16/904

  Browsing; Visualisation therefor (for navigating the web G06F16/954; browsing optimisation for the web G06F16/957) · CPC title