MULTI-COMPONENT PROFILING SYSTEMS AND METHODS

• US 20140236903A1
• Filed: 09/23/2013
• Published: 08/21/2014
• Est. Priority Date: 09/24/2012
• Status: Active Grant

• Current Assignee: Airedites LLC
• Original Assignee: Andrew L. Dirienzo
• Inventors: DiRienzo, Andrew L.
• Granted Patent: US 9,607,025 B2
• Time in Patent Office: Days
• US Class Current: 707/661
• CPC Class Codes: G06F 16/113 Details of archiving lifecycle management in storage systems G06F3/0649; backup systems G06F11/1446
• CPC Class Codes: G06F 16/21 Design, administration or maintenance of databases
• CPC Class Codes: G06F 16/22 Indexing; Data structures therefor; Storage structures
• CPC Class Codes: G06F 16/24553 of query operations
• CPC Class Codes: G06F 21/604 Tools and structures for managing or administering access control systems
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute
• CPC Class Codes: G06Q 50/01 Social networking

Abstract

A multi-component profile is determined for a person. The profile is determined from the analysis of empirical data gather by the person'"'"'s own digital devices which are used as surveillance devices. Several uses are given for the profile derived and for the PProfile System. One of these uses creates an augmented reality environment for personal interactions.

Claims

1. (canceled)

2. A computer system, comprising

a communication unit;

a processing unit; and

a storage unit;

wherein the computer system is configured by software to perform a process for identifying an instance of a particular type of behavior exhibited by a person, the process comprising;

receiving instances of empirical data associated with the person;

for at least a particular instance of empirical data of the received instances of empirical data, identifying which of the other received instances of empirical data are relevant to the particular instance of empirical data;

correlating the particular instance of empirical data with the other received instances of empirical data that are identified as relevant to the particular instance of empirical data; and

identifying an instance of a particular type of behavior exhibited by the person by analyzing at least one of the particular instance of empirical data and the other received instances of empirical data that are correlated with the particular instance of empirical data.

3. The computer system of claim 2, wherein the process that the computer system is configured to perform further comprises:

labeling the identified instance of a particular type of behavior as a behavior data-point;

identifying the behavior data-point as an indication of at least one profile component for the person;

archiving the behavior data-point and the identified at least one profile component; and

determining a scale value for the at least one profile component on the basis of an accumulation of behavior data-points for the at least one profile component.

4. The computer system of claim 2, wherein the process that the computer system is configured to perform further comprises archiving the received instances of empirical data.

5. The computer system of claim 2, wherein the process that the computer system is configured to perform further comprises:

for a second instance of empirical data of the received instances of empirical data, identifying which of the other received instances of empirical data are relevant to the second instance of empirical data;

correlating the second instance of empirical data with the other received instances of empirical data that are identified as relevant to the second instance of empirical data; and

identifying a different instance of a particular type of behavior exhibited by the person by analyzing at least one of the second instance of empirical data and the other received instances of empirical data that are correlated with the second instance of empirical data.

6. The computer system of claim 3, wherein, in the process, identifying relevant instances of empirical data comprises at least one of:

defining types of empirical data as relevant to the particular instance of empirical data;

wherein the types of empirical data that are defined as relevant comprises;

facial affect of the person while the person is performing an act resulting in generation of the particular instance of empirical data;

voice affect of the person while the person is performing an act resulting in generation of the particular instance of empirical data;

empirical data that has an associated location that is the same as a location associated with the particular instance of empirical data;

empirical data that elicits the same response, behavior, or proclivity from the person as the particular instance of empirical data;

empirical data that has an associated time that is the same as a time associated with the particular instance of empirical data;

or

searching an instance-specific list (INSP list) for matches to an assemblage of empirical-data items associated with the particular instance of empirical data.

7. The computer system of claim 2, wherein the process that the computer system is configured to perform further comprises:

performing the process again after one or more additional instances of empirical data associated with the person are received.

8. The computer system of claim 3, wherein the process that the computer system is configured to perform further comprises:

performing the process again for at least one other profile component for the person.

9. The computer system of claim 3, wherein the process that the computer system is configured to perform further comprises:

collecting the at least some of the person'"'"'s profile components that have had a scale value assigned to each of them and the respective scale value; and

labeling the collection of the at least some of the person'"'"'s profile components and the respective scale values as the person'"'"'s profile.

10. The computer system of claim 2, wherein, in the process, at least some of the received instances of empirical data associated with the person are obtained without self-report by the person.

11. The computer system of claim 2, wherein, in the process, at least some of the received instances of empirical data associated with the person are collected from at least one item selected from the group consisting of a desktop computer, a laptop computer, a tablet, a smartphone, an augmented reality device, an email, a word processor document, a Facebook entry, a Tweet, an internet search, a global positioning system (GPS) device, an entry into a web page, a viewed web page, and a TV watched.

12. The computer system of claim 3, wherein, in the process, the at least one profile component of the person is selected from the group consisting of honesty, integrity, kindness, loyalty, ambitiousness, happiness, faithfulness, shyness, persistence, adventurousness, cooperativeness, self-control, optimism and uprightness.

13. The computer system of claim 3, wherein, in the process, identifying relevant instances of empirical data is terminated when at least one of the following conditions is met:

an amount of time spent searching reaches a specified amount;

a number of results identified reaches a specified amount;

a number of searches performed reaches a specified number;

a number of relevant instances identified reaches a specified number; and

a number empirical-data items used reaches a specified number.

14. The computer system of claim 2, wherein, in the process, at least some of the received instances of empirical data associated with the person are obtained from observation of the person without subjecting the person to a controlled stimuli.

15. The computer system of claim 3, wherein, in the process, the particular instance of empirical data is relevant to another instance of empirical data vis-à

-vis a behavior or a profile component.

16. The computer system of claim 2, wherein, in the process, at least some of the empirical-data items are a portion of the particular instance of empirical data selected from the group consisting of words, metadata, physiological data, facial and voice affect data, and data about the person'"'"'s actions.

17. The computer system of claim 2, wherein, in the process, at least some of the received instances of empirical data associated with the person comprise data that the person has self-reported.

18. The computer system of claim 3, wherein the process that the computer system is configured to perform further comprises at least one of:

using the at least one profile component to assist in matching people in a dating service;

using the at least one profile component and the received empirical data to assist a therapist in psychotherapy of the person;

using the at least one profile component and the received empirical data to assist a therapist in couples therapy involving the person;

using the at least one profile component to assist in a self-improvement program of the person;

using the at least one profile component as part of the person'"'"'s healthcare regime;

using the at least one profile component as part of the criminal justice system;

using the at least one profile component, scrubbed of personal identification data, in sociological studies;

using the at least one profile component, scrubbed of personal identification data, for census studies;

using the at least one profile component to match the person to potential careers;

using the at least one profile component as part of employee recruitment and/or screening;

using the at least one profile component to assist a school counselor in understanding a person'"'"'s needs as a student;

using the at least one profile component to assist a school administrator in obtaining a desired mix of students in a class;

using the at least one profile component as a means of matching the person to a college;

using the at least one profile component as a requirement in a college application;

using the at least one profile component to assist in counseling of parents and the person, wherein the person is a child of the parents;

using the at least one profile component of the person, wherein the person is a child, by a parent as an aid in determining the psychological motives of the child;

using the at least one profile component of the person, wherein the person is a child, to assist in picking a school district for the person;

using the at least one profile component by sport coaches to improve the performance level of the person;

using the at least one profile component as part of the person'"'"'s credit report;

using the at least one profile component to identify whether the person is a potentially dangerous person as part of home land security;

using the at least one profile component during networking parties as a means of bringing together the person and those that meet criteria of the person;

using the at least one profile component as an aid in determining if the person should be selected in a draft of athletes;

using the at least one profile component as a means of better understanding the person'"'"'s response to a poll;

using the at least one profile component as part of a gun permit background check of the person;

using the at least one profile component as a means of helping management to determine the person'"'"'s suitability for particular professional work projects;

using the at least one profile component as part of a resume of the person;

receiving authorization from the person to allow the access of at least some parts of the at least one profile component to a third party;

using the at least one profile component to verify the business portrait of the person or to vet business information that the person has entered into other services;

using the at least one profile component to alert the person in real time that driving behavior of the person is detrimental to safe driving;

using the at least one profile component of the person to verify to another person, in real time, that what the person is saying about character, personality, and relationships of the person is true;

using the at least one profile component for forensic studies;

using the at least one profile component to interact with the person in real time;

using the at least one profile component to determine true talents of the person;

using the at least one profile component, scrubbed of personal identification data and added to the profile components of others, to spot trends in a population as a whole;

using the at least one profile component and the received empirical data to generate messages to at least one of the person, a parent of the person, and law enforcement authorities;

archiving the at least one profile component and the received empirical data for the use of the person;

collecting the at least one profile component and additional profile components of the person into subsets from which to base specialized sub-profiles on; and

using the at least one profile component to determine a depth of a social network of the person.

19. The computer system of claim 3, wherein the process that the computer system is configured to perform further comprises:

generating a profile for the person in response to a collection of scale-valued profile components of the person; and

posting at least a portion of the profile for other persons to view.

20. The computer system of claim 19, wherein the process that the computer system is configured to perform further comprises:

restricting the other persons to a group that satisfies a criteria set by the person.

21. A computer system, comprising

a communication unit;

a processing unit; and

a storage unit;

wherein the computer system is configured by software to perform a process for identifying an instance of a particular type of behavior exhibited by a person, the process comprising;

receiving instances of empirical data associated with the person;

for at least a particular instance of empirical data of the received instances of empirical data, identifying which of the other received instances of empirical data are relevant to the particular instance of empirical data;

correlating the particular instance of empirical data with the other received instances of empirical data that are identified as relevant to the particular instance of empirical data; and

identifying an instance of a particular type of behavior exhibited by the person by analyzing at least one of the particular instance of empirical data and the other received instances of empirical data that are correlated with the particular instance of empirical data;

wherein identifying relevant instances of empirical data comprises;

identifying empirical-data items for each of the received instances of empirical data;

archiving the identified empirical-data items for each of the received instances of empirical data;

for a particular empirical-data item of the particular instance of empirical data, searching an instance-specific list (INSP list) to determine if the particular empirical-data item appears in it;

wherein the INSP list comprises an assemblage of empirical-data items that could appear in received instances of empirical data; and

wherein the INSP list comprises, for each empirical-data item in the assemblage, an associated family of empirical-data items that are relevant to it;

if the particular empirical-data item of the particular instance of empirical data appears in the INSP list, using at least one item in its associated family of empirical-data items to search the empirical-data items of at least one other instance of the received instances of empirical data for a match; and

if the at least one item in this associated family of empirical-data items appears in the empirical-data items of any of the at least one other instance of the received instances of empirical data, identifying that one other instance of the received instances of empirical data as relevant to the particular instance of empirical data.

22. The computer system of claim 21, wherein, in the process, identifying relevant instances of empirical data further comprises:

for a second empirical-data item of the particular instance of empirical data, searching the INSP list to determine if the second empirical-data item appears in it;

if the second empirical-data item of the particular instance of empirical data appears in the INSP list, using at least one item in its associated family of empirical-data items to search the empirical-data items of at least one other instance of the received instances of empirical data for a match; and

if the at least one item in this associated family of empirical-data items appears in the empirical-data items of any of the at least one other instance of the received instances of empirical data, identifying that one other instance of the received instances of empirical data as relevant to the particular instance of empirical data.