ASSESSING COGNITIVE ABILITY

• US 20140272842A1
• Filed: 03/15/2013
• Published: 09/18/2014
• Est. Priority Date: 03/15/2013
• Status: Abandoned Application

• Current Assignee: Predinex Ug
• Original Assignee: Predinex Ug
• Inventors: Kwiatkowski, Sebastian Edward
• Application Number:
  US13/843,769
• Publication Number:
  US 20140272842A1
• Time in Patent Office: Days
• US Class Current: 434/236
• CPC Class Codes: G09B 7/00 Electrically-operated teaching apparatus or devices working with questions and answers mechanically operated G09B3/00; computing arrangements G06F

Abstract

The subject matter of this specification can be implemented in, among other things, a method that includes receiving first cognitive ability levels for first persons. The first cognitive ability levels represent assessments of the first persons within a model of cognitive abilities. The method further includes receiving first user generated online data of the first persons. The method further includes extracting first values for one or more types of features from the first user generated online data. The method further includes comparing, by a processing device, the extracted first values to the received first cognitive ability levels to identify relationships between the types of features and the received first cognitive ability levels. The method further includes storing the relationships between the types of features and the received first cognitive ability levels in a storage device.

Claims

1. A method comprising:

receiving first cognitive ability levels for first persons, wherein the first cognitive ability levels represent assessments of the first persons within a model of cognitive abilities;

receiving first user generated online data of the first persons;

extracting first values for one or more types of features from the first user generated online data;

comparing, by a processing device, the extracted first values to the received first cognitive ability levels to identify relationships between the types of features and the received first cognitive ability levels; and

storing the relationships between the types of features and the received first cognitive ability levels in a storage device.

2. The method of claim 1, further comprising:

receiving second user generated online data of second persons;

extracting second values for the types of features from the second user generated online data; and

applying the stored relationships to the second values to assess second cognitive ability levels of the second persons within the model of cognitive abilities.

3. The method of claim 2, wherein one or more of the first persons or the second persons are users of social networking, blogging, Internet chats, or discussion board systems, and wherein one or more of the first user generated online data or the second user generated online data are posts to the social networking, blogging, Internet chats, or discussion board systems.

4. The method of claim 2, further comprising determining that a first set of the first persons is associated with a second set of the second persons, and wherein applying the stored relationships comprises applying a relationship among the stored relationships for the first set to the second set as a group.

5. The method of claim 2, wherein the types of features comprise a measure of words used within multiple groups of words for each of the first persons and the second persons.

6. The method of claim 2, wherein the types of features comprise one or more of a measure of vocabulary size for each of the first persons and the second persons, or a measure of a comparison between the vocabulary size for each of the first persons and the second persons to an average vocabulary size of other persons.

7. The method of claim 2, wherein the types of features comprise one or more of a measure of words used from particular subject matter topics for each of the first persons and the second persons, or a measure of a range of subject matter topics for each of the first persons and the second persons.

8. The method of claim 2, wherein the types of features comprise a measure of uncommon words used that are also included in documents that are linked to by the first user generated online data or the second user generated online data.

9. The method of claim 2, wherein the first cognitive ability levels comprise results of an intelligence test, and wherein the method further comprises performing the intelligence test on one or more of the first persons to generate one or more of the first cognitive ability levels.

10. The method of claim 2, wherein the first cognitive ability levels comprise results of an intelligence test, and wherein receiving the first cognitive ability levels comprises receiving third user generated online data that comprises one or more of the first cognitive ability levels for one or more of the first persons.

11. The method of claim 2, further comprising receiving associations between one or more of the first persons and one or more organizations, and wherein receiving the first cognitive ability levels comprises identifying one or more of the first cognitive ability levels based on the associations.

12. A non-transitory computer-readable medium having instructions stored thereon, which when executed by a processing device, cause the processing device to perform operations comprising:

receiving first cognitive ability levels for first persons, wherein the first cognitive ability levels represent assessments of the first persons within a model of cognitive abilities;

receiving first user generated online data of the first persons;

extracting first values for one or more types of features from the first user generated online data;

comparing, by the processing device, the extracted first values to the received first cognitive ability levels to identify relationships between the types of features and the received first cognitive ability levels; and

storing the relationships between the types of features and the received first cognitive ability levels in a storage device.

13. The method of claim 12, wherein the operations further comprise:

receiving second user generated online data of second persons;

extracting second values for the types of features from the second user generated online data; and

applying the stored relationships to the second values to assess second cognitive ability levels of the second persons within the model of cognitive abilities.

14. The computer-readable medium of claim 13, wherein one or more of the first persons or the second persons are users of social networking, blogging, Internet chats, or discussion board systems, and wherein one or more of the first user generated online data or the second user generated online data are posts to the social networking, blogging, Internet chats, or discussion board systems.

15. The computer-readable medium of claim 13, wherein the operations further comprise determining that a first set of the first persons is associated with a second set of the second persons, and wherein applying the stored relationships comprises applying a relationship among the stored relationships for the first set to the second set as a group.

16. The computer-readable medium of claim 13, wherein the types of features comprise a measure of words used within multiple groups of words for each of the first persons and the second persons.

17. The computer-readable medium of claim 13, wherein the types of features comprise one or more of a measure of vocabulary size for each of the first persons and the second persons, or a measure of a comparison between the vocabulary size for each of the first persons and the second persons to an average vocabulary size of other persons.

18. The computer-readable medium of claim 13, wherein the types of features comprise one or more of a measure of words used from particular subject matter topics for each of the first persons and the second persons, or a measure of a range of subject matter topics for each of the first persons and the second persons.

19. The computer-readable medium of claim 13, wherein the types of features comprise a measure of uncommon words used that are also included in documents that are linked to by the first user generated online data or the second user generated online data.

20. The computer-readable medium of claim 13, wherein the first cognitive ability levels comprise results of an intelligence test, and wherein the operations further comprise performing the intelligence test on one or more of the first persons to generate one or more of the first cognitive ability levels.

21. The computer-readable medium of claim 13, wherein the first cognitive ability levels comprise results of an intelligence test, and wherein receiving the first cognitive ability levels comprises receiving third user generated online data that comprises one or more of the first cognitive ability levels for one or more of the first persons.

22. The computer-readable medium of claim 13, wherein the operations further comprise receiving associations between one or more of the first persons and one or more organizations, and wherein receiving the first cognitive ability levels comprises identifying one or more of the first cognitive ability levels based on the associations.

23. A system comprising:

one or more interfaces to receive first cognitive ability levels and first user generated online data for first persons, wherein the first cognitive ability levels represent assessments of the first persons within a model of cognitive abilities;

one or more processing devices to extract first values for one or more types of features from the first user generated online data, compare the extracted first values to the received first cognitive ability levels to identify relationships between the types of features and the received first cognitive ability levels; and

one or more storage devices to store the relationships between the types of features and the received first cognitive ability levels.

24. The system of claim 23, wherein the interfaces are further to receive second user generated online data of second persons, and wherein the processing devices are further to extract second values for the types of features from the second user generated online data and apply the stored relationships to the second values to assess second cognitive ability levels of the second persons within the model of cognitive abilities.

25. The system of claim 24, wherein one or more of the first persons or the second persons are users of social networking, blogging, Internet chats, or discussion board systems, and wherein one or more of the first user generated online data or the second user generated online data are posts to the social networking, blogging, Internet chats, or discussion board systems.

26. The system of claim 24, wherein the processing devices are further to determine that a first set of the first persons is associated with a second set of the second persons, and apply a relationship among the stored relationships for the first set to the second set as a group.

27. The system of claim 24, wherein the types of features comprise a measure of words used within multiple groups of words for each of the first persons and the second persons.

28. The system of claim 24, wherein the types of features comprise one or more of a measure of vocabulary size for each of the first persons and the second persons, or a measure of a comparison between the vocabulary size for each of the first persons and the second persons to an average vocabulary size of other persons.

29. The system of claim 24, wherein the types of features comprise one or more of a measure of words used from particular subject matter topics for each of the first persons and the second persons, or a measure of a range of subject matter topics for each of the first persons and the second persons.

30. The system of claim 24, wherein the types of features comprise a measure of uncommon words used that are also included in documents that are linked to by the first user generated online data or the second user generated online data.

31. The system of claim 24, wherein the first cognitive ability levels comprise results of an intelligence test, and wherein the processing devices are further to perform the intelligence test on one or more of the first persons to generate one or more of the first cognitive ability levels.

32. The system of claim 24, wherein the first cognitive ability levels comprise results of an intelligence test, and wherein the interfaces are further to receive third user generated online data that comprises one or more of the first cognitive ability levels for one or more of the first persons.

33. The system of claim 24, wherein the interfaces are further to receive associations between one or more of the first persons and one or more organizations, and wherein the processing devices are further to identify one or more of the first cognitive ability levels based on the associations.