Self-attainable analytic tool and method for adaptive behavior modification

• US 20040247748A1
• Filed: 04/23/2004
• Published: 12/09/2004
• Est. Priority Date: 04/24/2003
• Status: Active Grant

• Current Assignee: Valentina G. Bronkema
• Original Assignee: Valentina G. Bronkema
• Inventors: Bronkema, Valentina G.
• Granted Patent: US 7,725,842 B2
• Time in Patent Office: Days
• US Class Current: 426/106
• CPC Class Codes: G09B 19/0076 Body hygiene; Dressing; Knot tying
• CPC Class Codes: G09B 19/0092 Nutrition
• CPC Class Codes: G16H 20/70 relating to mental therapies, e.g. psychological therapy or autogenous training

Abstract

A system and method for behavior modification through dynamic identification of behavior patterns, assistance in finding and implementing healthy alternatives to undesirable behavior patterns, preparation of dynamically variable user-specific programs, monitoring of current user activities, and presenting feedback and information to the user. The system and method further support incorporation of professional and other information into a user-specific package from which the user-specific program is determined, and synchronization and data integrity across the platforms of the system.

Claims

1. A system for behavior modification of a user comprising:

a data collector subsystem capable of receiving user-specific information from sources;

a package designer subsystem, said package designer subsystem capable of

determining at least one type of behavior associated with the user based on preselected rules and said user-specific information;

providing a user-specific package including said user-specific information, said at least one type of behavior, and said pre-selected rules;

updating said user-specific package with a user-specific program for behavior modification based on said user-specific package;

modifying said user-specific program based on changes to said user-specific package;

developing feedback to be presented to the user based on said user-specific package;

further updating said user-specific package with said feedback; and

a feedback provider subsystem capable of presenting said feedback to the user;

wherein the user is capable of modifying the at least one type of behavior based upon the feedback.

2. The system for behavior modification as defined in claim 1 further comprising:

an interface subsystem capable of receiving other information from at least one other source, said interface subsystem capable of updating said user-specific package and said preselected rules in accordance with said other information;

a data analyst subsystem capable of receiving said user specific information and said other information to produce analyzed data, said data analyst subsystem further capable of updating said user-specific package with said analyzed data; and

a monitor subsystem capable of comparing said user-specific package to said at least one type of behavior to provide compared data, said monitor subsystem capable of updating user specific package with said compared data.

3. The system for behavior modification as defined in claim 2 wherein said at least one other source is a professional.

4. The system for behavior modification as defined in claim 2 wherein said at least one other source is a nutrition provider.

5. The system for behavior modification as defined in claim 4 wherein said nutrition provider further comprises:

at least one food source, said food source providing at least one food list, said at least one food list being analyzed by said data analyst subsystem to produce nutrition data;

wherein said data analyst subsystem updates said user-specific package with said nutrition data, said at least one food source, and said at least one food list.

6. The system for behavior modification as defined in claim 2 wherein said at least one other source is a fitness provider.

7. The system for behavior modification as defined in claim 2 wherein said at least one other source is a service provider.

8. The system for behavior modification as defined in claim 2 wherein said at least one other source is an expert.

9. The system for behavior modification as defined in claim 1 wherein said user-specific information includes emotional, behavioral, physical, and environmental characteristics of the user.

10. The system for behavior modification as defined in claim 1 wherein said feedback includes advice, congratulatory messages, anthropogenic feedback, and animated feedback.

11. A method for modifying behavior comprising the steps of:

(a) receiving user information and other information from at least one source;

(b) analyzing the user information and the other information to produce analyzed data;

(c) incorporating within a user-specific package the analyzed data;

(d) accessing at least one rule;

(e) determining, based on the analyzed data and the at least one rule, at least one type of behavior;

(f) further incorporating, within the user-specific package, information with respect to the at least one type of behavior;

(g) further incorporating, within the user-specific package, a user-specific program for behavior modification, the user-specific program being based on the user-specific package;

(h) further incorporating, within the user-specific package, feedback for the user based upon contents of the user-specific package; and

(i) presenting the feedback to the user;

wherein the user is capable of modifying the at least one type of behavior based upon the feedback.

12. The method for modifying behavior as defined in claim 11 wherein user information includes behavioral, emotional, environmental, and physical characteristics.

13. The method for modifying behavior as defined in claim 11 wherein other information includes professional advice.

14. The method for modifying behavior as defined in claim 11 wherein other information includes nutritional information.

15. The method for modifying behavior as defined in claim 11 wherein other information includes fitness information.

16. The method for modifying behavior as defined in claim 11 further comprising the steps of:

(j) receiving further user information and further other information;

(k) analyzing the further user information and the further other information to produce updated analyzed data; and

(l) updating the user-specific package with the updated analyzed data.

17. The method for modifying behavior as defined in claim 16 further comprising the steps of:

(m) repeating steps (d) through (l) until the user modifies the at least one type of behavior associated with the user to the extent that the user is substantially satisfied with the behavior modification.

18. The method for modifying behavior as defined in claim 17 further comprising the steps of:

(n) associate the rules with a general database, the general database providing system-wide information relevant to behavior modification;

(o) enabling update of the general database;

(p) updating the user-specific package based on the updated general database;

(q) enabling communication between at least one personal device and at least one multi-user device, the at least one personal device having a unique identification;

(r) establishing a relationship between the unique identification and the user login;

(s) receiving a login request from the user;

(t) validating the login request based on the relationship; and

(u) synchronizing the user-specific package between the at least one personal device and the at least one multi-user device.

19. The method for modifying behavior as defined in claim 18 wherein the step of updating and synchronizing further comprises the steps of:

(v) preparing a filter to select user-specific information from the general database;

(w) preparing a general database subset based on the filter and the general database; and

(x) transferring the general database subset from the at least one multi-user device to the at least one personal device.

31. A communication network comprising at least two nodes practicing the method according to claim 11.

32. Electromagnetic signals traveling over a computer network comprising:

said electromagnetic signals carrying information for the practice of the method according to claim 11.

33. A computer readable medium containing instructions for the practice of the method according to claim 11.

20. A system for behavior modification comprising:

a data collector subsystem capable of receiving user information from a user, said data collector subsystem capable of updating a user-specific package with said user information;

a data analyst subsystem capable of analyzing said user information to produce analyzed data, said data analyst subsystem capable of accessing rules from a general database, said data analyst subsystem capable of updating said user-specific package with said analyzed data and said rules;

a package designer subsystem capable of determining at least one type of behavior associated with the user based on said user-specific package, said package designer subsystem capable of creating a user-specific program for behavior modification based on said user-specific package;

said package designer subsystem capable of selecting feedback based on said at least one type of behavior and said user-specific package, said package designer subsystem capable of updating said user-specific package with said at least one type of behavior, said user-specific program for behavior modification, and said feedback;

a feedback provider subsystem capable of presenting said feedback to the user; and

a monitor subsystem capable of comparing said user information and said analyzed data to said at least one type of behavior to provide compared data, said monitor subsystem capable of continually updating the user-specific package with the compared data.

21. The system for behavior modification as defined in claim 20 wherein said user-specific package comprises:

a profile/package database populated with said user information, said analyzed data, said rules, said at least one type of behavior, said feedback, and said compared data; and

a user-specific filter capable of selecting data from the general database, said selection based on said user-specific package.

22. The system for behavior modification as defined in claim 20 further comprising:

a user registrar subsystem capable of receiving said user information, said user information including login information;

said user registrar subsystem capable of enabling communication between at least one personal device and at least one multi-user device, the at least one personal device having a unique identification, said user registrar subsystem capable of establishing a relationship between the unique identification and the login information, said user registrar subsystem capable of receiving a login request from the user, said user registrar subsystem capable of validating the login request based on said relationship, said user registrar subsystem capable of enabling updating and synchronizing said user-specific package between the at least one personal device and the at least one multi-user device.

23. The system for behavior modification as defined in claim 22 further comprising:

an expert subsystem capable of receiving at least one update to said general database, said expert subsystem capable of updating said general database with said at least one update, said expert subsystem capable of incorporating said at least one update in said user-specific package, said expert subsystem capable of proliferating said at least one update to said at least one personal device.

24. The system for behavior modification as defined in claim 20 further comprising:

a professional interface subsystem capable of receiving augmentary information from at least one source, said professional interface subsystem capable of updating said user-specific package and said rules according to said augmentary information received from the at least one source.

25. A method for collecting behavior modification data comprising the steps of:

(a) prompting for and accepting user information;

(b) requiring further information if the user information indicates a pre-selected condition;

(c) prompting for and accepting at least one response to at least one entry test, the at least one response being used to create at least one user-specific package, the at least one user-specific package having at least one user-specific program;

(d) prompting for and accepting information relevant to the at least one user-specific program, the information being used for updating the at least one user-specific package, if required;

(e) repeating step (d) if the at least one user-specific program has not been completed;

(f) prompting for and accepting data about at least one user action if the at least one user-specific program has been completed;

(g) comparing the at least one user action with at least one indicator of at least one pre-selected type of behavior;

(h) repeating step (g) if the comparison fails;

(i) providing the at least one indicator for preparing at least one updated user-specific program if the comparison succeeds;

(j) repeating steps (d) through (i) if the at least one updated user-specific program is not complete.

26. A system for collecting adaptive behavior modification data comprising:

a user information prompter subsystem capable of prompting for and accepting user information;

an entry test handler subsystem capable of prompting for and accepting at least one response to at least one entry test, said at least one response being used to create at least one user-specific package;

a condition evaluator subsystem capable of requiring further information if the user information indicates at least one pre-selected condition;

a user-specific package handler subsystem capable of receiving the at least one user-specific package, said at least one user-specific package containing at least one user-specific program, said user-specific package handler subsystem capable of prompting for and accepting information relevant to the at least one user-specific program, the information being used for updating the at least one user-specific package, if required; and

monitor interface subsystem capable of prompting for and accepting data about at least one action of the user with respect to the at least one indicator of the at least one pre-selected type of behavior.

27. A method for analyzing behavior modification data comprising the steps of:

(a) creating a user-specific package;

(b) accessing at least one behavior rule;

(c) determining at least one current user activity,

(d) associating at least one identified type of behavior with the at least one current user activity according to the at least one behavior rule;

(e) identifying at least one level of association between at least one behavior pattern and the at least one current user activity, the at least one behavior pattern being associated with the at least one identified type of behavior;

(d) if the at least one level of association is identified, updating the user-specific package based on a combination including the at least one current user activity, the at least one behavior pattern, the at least one level of association, and the at least one identified type of behavior;

(d) repeating steps (b) through (d) until the at least one current user activity forms the null set.

28. A system for analyzing behavior modification data comprising:

a behavior identifier subsystem capable of accessing at least one behavior rule, said behavior identifier subsystem capable of determining at least one current user activity, said behavior identifier subsystem capable of associating, if possible, at least one identified type of behavior with said at least one current user activity according to said at least one behavior rule;

an indicator comparator subsystem capable of identifying at least one level of association, if possible, between at least one behavior pattern and said at least one current user activity, said at least one behavior pattern being associated with said at least one identified type of behavior;

a behavior updater subsystem capable of deriving at least one general database filter based on a combination of said at least one current user activity, said at least one behavior pattern, and said at least one identified type of behavior; and

an analysis archiver subsystem capable of compiling a database including said at least one level of association, said at least one behavior pattern, said at least one current user activity, said at least one identified type of behavior, and said at least one general database filter.

29. A method for behavior modification self-reflection comprising the steps of:

(a) creating a self-reflective device based on at least one user characteristic;

(c) adapting the self-reflective device to at least one change in the at least one user characteristic;

(d) adapting the self-reflective device to current actual and desired behavior of the user, the current and actual desired behavior being determined by a user-specific package, the user-specific package based on at least one identified type of behavior, the at least one identified type of behavior being associated with at least one user-specific program; and

(e) repeating steps (b), (c) and (d) when the current actual and desired behaviors change and when the at least one characteristic changes, if at all.

30. A system for behavior modification self-reflection comprising:

a self-reflective device creator subsystem capable of creating a self-reflective device based on at least one user characteristic;

a self-reflective device adaptor subsystem capable of adapting said self-reflective device to a change in the at least one user characteristic, said self-reflective device adaptor subsystem being capable of adapting the self-reflective device to current actual and desired behavior of the user, the desired behavior being determined by a user-specific package, said user-specific package being based on at least one identified type of behavior, said at least one identified type of behavior having associated user-specific program, said self-reflective device adaptor subsystem adapting said self-reflective device when said current actual and desired behaviors change and when said at least one user characteristic changes, if at all.