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Predictive knowledge transmission using coginitive techniques Disclosure Number: IPCOM000247781D
Publication Date: 2016-Oct-06
Document File: 4 page(s) / 87K

Publishing Venue

The Prior Art Database


It is a perennial problem to understand how much an audience is paying attention to the information sent to them. For documents there currently exists techniques to detect whether a document has been opened, clicked, closed or forwarded but there exists no such technique to understand how much of the document has been actually understood by the person reading it. We have come up with a cognitive based technique to understand this aspect. Based on this technique it can be understood as to how much of the document has been read/understood by the user.

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Predictive knowledge transmission using coginitive techniques

This would solve the following problems:

1) If we have an idea as to whether the audience is reading the document properly or not, we can transmit documents accordingly in future. People who have not shown any interest in the document can be noted and based on that necessary business rules can be set.

2) Based on the level of expertise and knowledge level of a person, the appropriate group of specialist people can be selected for document reviews (say like a proposal)

3) For students, parents can predict what type of information the children have not understood yet or need revision and help to prepare them accordingly

4) Information duplication can be avoided if we have an idea as to whether a piece of information is relevant for a user or not based on the document that the user has read. If there are changes to a document, the amount of information that the user has already understood can only be transmitted There would be a central server performing the following activities

1) Central server gets the information about the user profile and other details calculated above and stores in the knowledge base. Now we have the user's reading speed, expertise area, topics of interest and probable areas of weakness as well.

2) A document can be sent via various modes of communication, seen on a projector, calling someone to a desk and showing the document and doing screen share. Each of the method will require little different way of tracking user behavior. We have provided a method for user using his laptop with web camera but similar arrangements can be used when document is projected on the screen.

3) Server identifies document and validates against user information collected earlier. This gives a basic idea as to how much time the document would be taken by the user to read. If it falls within the expertise of the user, then the time would be having a certain value, and if not have a different value.

4) With the data analysis, sender of the document can figure out who all read and understood the content.

This disclosure can be used in multiple context:

- Education { regular education and special need education }

- Document reviews

- Legal contract review etc

The solution would now work in the following manner:

There would be a central server performing the following activities


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Based on the above the central server would have an information for the topics of specialization for the user as well as the depth of knowledge in each of the areas. So we can determine the following:

1) List of areas that the user knows - for example Java, Photography, Cooking, etc