PROVIDING SUGGESTED BEHAVIOR MODIFICATIONS FOR A CORRELATION

• US 20180366024A1
• Filed: 06/14/2017
• Published: 12/20/2018
• Est. Priority Date: 06/14/2017
• Status: Abandoned Application

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Inventors: Yom-Tov, Elad, Bitran, Hadas, Yekutiel, Shahar, Shacham, Gil, Ni, Tachen Chester, White, Ryen W.
• Application Number:
  US15/623,107
• Publication Number:
  US 20180366024A1
• Time in Patent Office: Days
• CPC Class Codes: G06F 16/284 Relational databases
• CPC Class Codes: G09B 19/00 Teaching not covered by other main groups of this subclass teaching or practice apparatus for gun-aiming or gun-laying F41G3/26
• CPC Class Codes: G16H 20/30 relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising

Abstract

A method that includes accessing, from a database, a correlation between a first variable and a second variable; retrieving a list of suggested user behavior modifications for the correlation; selecting a user behavior modification from the list; presenting the selected user behavior modification to a computer device; receiving adherence data indicating a level of adherence by the user to the user behavior modification; and reevaluating the correlation between the first variable and the second variable based on the adherence data. The method may improve the determination of causality, versus merely correlation, between the variables. This determination may permit for improved recommendations to individuals to achieve a desired user outcome.

Claims

1. A method comprising:

accessing, from a database, a correlation between a first variable and a second variable;

retrieving a list of suggested user behavior modifications for the correlation;

selecting a user behavior modification from the list;

presenting the selected user behavior modification to a computer device;

receiving adherence data indicating a level of adherence by the user to the user behavior modification; and

reevaluating the correlation between the first variable and the second variable based on the adherence data.

2. The method of claim 1, further comprising:

presenting a strength of the correlation based on the reevaluating.

3. The method of claim 1, further comprising:

selecting another user behavior modification from the list when the reevaluating indicates that change in a strength of the correlation is below a threshold value;

presenting an instruction based on the another user behavior modification to the computer device;

receiving further adherence data indicating a level of adherence by the user to the another user behavior modification; and

reevaluating the correlation between the first variable and the second variable based on the further adherence data.

4. The method of claim 3, wherein selecting another user behavior modification from the list includes:

selecting the another user behavior modification where the strength of the correlation is above the threshold value.

5. The method of claim 1, further comprising:

presenting a plurality of user behavior modifications from the list to another computer device;

selecting one of the user behavior modifications from the list;

receiving further adherence data indicating a level of adherence by the user to the one of the user behavior modifications; and

reevaluating the correlation between the first variable and the second variable based on the further adherence data.

6. The method of claim 1, further comprising:

presenting adherence by the user to the selected user behavior modification to the computing device.

7. The method of claim 1, wherein receiving adherence data indicating a level of adherence by the user to the user behavior modification includes:

receiving data from a wearable device.

8. The method of claim 1, wherein selecting the user behavior modification from the list includes:

selecting the user behavior modification based on demographic information of the user.

9. A non-transitory computer readable medium comprising instructions, which when executed by at least one processor, configure the processor to perform operations comprising:

accessing, from a database a correlation between a first variable and a second variable;

retrieving a list of suggested user behavior modifications for the correlation;

selecting a user behavior modification from the list;

presenting the selected user behavior modification to a computer device;

receiving adherence data indicating a level of adherence by the user to the user behavior modification; and

reevaluating the correlation between the first variable and the second variable based on the adherence data.

10. The non-transitory computer readable medium of claim 9, the operations further comprising:

presenting a strength of the correlation based on the reevaluating.

11. The non-transitory computer readable medium of claim 9, the operations further comprising:

selecting another user behavior modification from the list when the reevaluating indicates that change in a strength of the correlation is below a threshold value;

presenting an instruction based on the another user behavior modification to the computer device;

receiving further adherence data indicating a level of adherence by the user to the another user behavior modification; and

reevaluating the correlation between the first variable and the second variable based on the further adherence data.

12. The non-transitory computer readable medium of claim 11, wherein selecting another user behavior modification from the list includes:

selecting the another user behavior modification where the strength of the correlation is above the threshold value.

13. The non-transitory computer readable medium of claim 9, the operations further comprising:

presenting a plurality of user behavior modifications from the list to another computer device;

selecting one of the user behavior modifications from the list;

receiving further adherence data indicating a level of adherence by the user to the one of the user behavior modifications; and

reevaluating the correlation between the first variable and the second variable based on the further adherence data.

14. The non-transitory computer readable medium of claim 9, the operations further comprising:

presenting adherence by the user to the selected user behavior modification to the computing device.

15. A system comprising:

at least one processor;

a storage device comprising instructions, which when executed by the at least one processor, configure the processor to perform operations comprising;

accessing, from a database a correlation between a first variable and a second variable;

retrieving a list of suggested user behavior modifications for the correlation;

selecting a user behavior modification from the list;

presenting the selected user behavior modification to a computer device;

receiving adherence data indicating a level of adherence by the user to the user behavior modification; and

reevaluating the correlation between the first variable and the second variable based on the adherence data.

16. The system of claim 16, the operations further comprising:

presenting a strength of the correlation based on the reevaluating.

17. The system of claim 16, the operations further comprising:

selecting another user behavior modification from the list when the reevaluating indicates that change in a strength of the correlation is below a threshold value;

presenting an instruction based on the another user behavior modification to the computer device;

receiving further adherence data indicating a level of adherence by the user to the another user behavior modification; and

reevaluating the correlation between the first variable and the second variable based on the further adherence data.

18. The system of claim 17, wherein selecting another user behavior modification from the list includes:

selecting the another user behavior modification where the strength of the correlation is above the threshold value.

19. The system of claim 16, the operations further comprising:

presenting a plurality of user behavior modifications from the list to another computer device;

selecting one of the user behavior modifications from the list;

receiving further adherence data indicating a level of adherence by the user to the one of the user behavior modifications; and

reevaluating the correlation between the first variable and the second variable based on the further adherence data.

20. The system of claim 16, the operations further comprising:

presenting adherence by the user to the selected user behavior modification to the computing device.