Identification of comprehension burden in multimedia content

Patent metadata

Field	Value
Publication number	US-10438499-B2
Application number	US-201414449553-A
Country	US
Kind code	B2
Filing date	Aug 1, 2014
Priority date	Aug 1, 2014
Publication date	Oct 8, 2019
Grant date	Oct 8, 2019

Abstract

Methods and arrangements for identifying burden comprehension in multimedia content. A contemplated method includes: accepting multimedia input; detecting components of the multimedia input; determining a comprehension burden score of each of the detected components; and thereupon calculating a total comprehension burden score for the multimedia input. Other variants and embodiments are broadly contemplated herein.

First claim

What is claimed is:

1. A method of identifying comprehension burden in multimedia content, said method comprising:
utilizing at least one processor to execute computer code configured to perform the steps of:
identifying a preferred learning methodology for a user;
accepting digital multimedia content as input
detecting components of the multimedia content, each of the components being associated with a different content type;
determining a comprehension burden score of each of the detected components, wherein the determining comprises:
identifying sub-components of each of the components;
assessing each of the sub-components;
assigning, based on the accessing, a quantitative value to each of the sub-components; and
determining the comprehension burden score via aggregating the sub-components;
weighting, based on the preferred learning methodology, the determined comprehension burden score of each of the detected components;

thereupon calculating, based upon the weighted comprehension burden scores, a total comprehension burden score for the multimedia content, wherein the total comprehension burden score is associated with the user's ability to comprehend the multimedia content; and
providing the total comprehension burden score for the multimedia content to the user prior to the user accessing the multimedia content.

2. The method according to claim 1 , comprising extracting features for each of the components towards determining a comprehension burden score of each of the components.

3. The method according to claim 1 , wherein one of the components comprises a text component.

4. The method according to claim 3 , wherein determining a comprehension burden score of the text component comprises determining at least one of: readability, concept density, dispersion and illustrative richness.

5. The method according to claim 1 , wherein one of the components comprises an audio component.

6. The method according to claim 5 , wherein determining a comprehension burden score of the audio component comprises determining at least one of: noise, repetitiveness, accent and illustrative richness.

7. The method according to claim 1 , wherein one of the components comprises a presentation component.

8. The method according to claim 7 , wherein determining a comprehension burden score of the presentation component comprises determining at least one of: a degree of text content, a correlation between colors and concepts, presentation flow and illustrative richness.

9. The method according to claim 1 , wherein one of the components comprises a video component.

10. The method according to claim 9 , wherein determining a comprehension burden score of the video component comprises determining at least one of: synchronization, quality, order and illustrative richness.

11. An apparatus comprising:
at least one processor; and
a computer readable storage medium having computer readable program code embodied therewith and executable by the at least one processor, the computer readable program code comprising:
computer readable program code configured to identify a preferred learning methodology for a user;
computer readable program code configured to accept digital multimedia content as input;
computer readable program code configured to detect components of the multimedia content, each of the components being associated with a different content type;
computer readable program code configured to determine a comprehension burden score of each of the detected components, wherein the determining comprises:
identifying sub-components of each of the components;
assessing each of the sub-components;
assigning, based on the accessing, a quantitative value to each of the sub-components; and
determining the comprehension burden score via aggregating the sub-components;
weighting, based on the preferred learning methodology, the determined comprehension burden score of each of the detected components;

computer readable program code configured to thereupon calculate, based upon the weighted comprehension burden scores, a total comprehension burden score for the multimedia content, wherein the total comprehension burden score is associated with the user's ability to comprehend the multimedia content; and
computer readable program code configured to provide the total comprehension burden score for the multimedia content to the user prior to the user accessing the multimedia content.

12. A computer program product comprising:
a computer readable storage medium having computer readable program code embodied therewith, the computer readable program code comprising:
computer readable program code configured to identify a preferred learning methodology for a user;
computer readable program code configured to accept digital multimedia content as input;
computer readable program code configured to detect components of the multimedia content, each of the components being associated with a different content type;
computer readable program code configured to determine a comprehension burden score of each of the detected components, wherein the determining comprises:
identifying sub-components of each of the components;
assessing each of the sub-components;
assigning, based on the accessing, a quantitative value to each of the sub-components; and
determining the comprehension burden score via aggregating the sub-components;
weighting, based on the preferred learning methodology, the determined comprehension burden score of each of the detected components;

computer readable program code configured to thereupon calculate, based upon the weighted comprehension burden scores, a total comprehension burden score for the multimedia content, wherein the total comprehension burden score is associated with the user's ability to comprehend the multimedia content; and
computer readable program code configured to provide the total comprehension burden score for the multimedia content to the user prior to the user accessing the multimedia content.

13. The computer program product according to claim 12 , comprising extracting features for each of the components towards determining a comprehension burden score of each of the components.

14. The computer program product according to claim 12 , wherein one of the components comprises a text component.

15. The computer program product according to claim 12 , wherein one of the components comprises an audio component.

16. The computer program product according to claim 12 , wherein one of the components comprises a presentation component.

17. The computer program product according to claim 12 , wherein one of the components comprises a video component.

18. A method of identifying comprehension burden in multimedia content, said method comprising:
utilizing at least one processor to execute computer code configured to perform the steps of:
identifying a preferred learning methodology for a user;
accepting digital multimedia content as input;
detecting components of the multimedia content, each of the components being associated with a different content type and wherein the content types comprises: a text component, an audio component, a presentation component and a video component;
determining a comprehension burden score of each of the detected components, wherein the determining comprises:
identifying sub-components of each of the components;
assessing each of the sub-components;
assigning, based on the accessing, a quantitative value to each of the sub-components; and
determining the comprehension burdens c

Assignees

• IBM

Inventors

• Contractor Danish
• Mohania Mukesh Kumar
• Negi Sumit
• Neti Chalapathy V
• Rajput Nitendra

Classifications

• G09B5/06 Primary

  with both visual and audible presentation of the material to be studied · CPC title