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Document prioritization by measuring its cognitive authorship effort Disclosure Number: IPCOM000247882D
Publication Date: 2016-Oct-09
Document File: 2 page(s) / 27K

Publishing Venue

The Prior Art Database


This disclosure deals with determining a priority (importance) of a document (e.g., email, desktop file, etc.) based on monitoring its cognitive authorship effort. The cognitive authorship effort is measured by the type, number, duration and complexity of cognitive tasks that the document 's author/s need to invest in order to compose it. Such estimate can be then used for prioritizing the document for various applications. As an example, in an email setting, the amount of cognitive authorship effort invested by the email sender's in composing it can be used to determine its priority for delivery to its receivers (e.g., the more effort is invested and possibility of certain type, the higher the priority of that email would be). As another example application, such priority may serve as a static score for document for ranking (retrieval) purpose. Finally, as yet another example application, using the knowledge of the amount of cognitive authorship that was invested on some documents in the past by the same author/s can enhance the prioritization of other document authorship tasks (e.g., if some documents have required a lot of cognitive authorship effort, then a new document related to those documents would be predicted to require similar effort, and hence, can be scheduled for the author's attention only in times when the author/s can fully invest his time to work on it).

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Document prioritization by measuring its cognitive authorship effort

The solution includes two main components:

Document Authorship Monitor: when a given document is being authored by one or more


authors, this component monitors the type

of cognitive tasks that are performed by authors and captures features that can be used later on to estimate their complexity.

Example types of cognitive tasks that can be performed during document authorship and their captured features are (but not restricted to):

Document composition : the amount of time author/s spend in compositing the document,


amount of content, number of edits, novel content, etc.

Comment: this is rather a traditional task and features, similar to the above prior-arts, yet we mention this here for completeness.

Document review: the time the authors spend in reviewing existing authored content (can


be measured whenever an author change the scroll position

and scrolls down and up, by mouse tracking, eye gaze, etc).

Evidence (background) search: this cognitive task captures the amount of effort authors


invest in order to collect, digest and produce content that is

based on external sources such as searching and linking to web sources, other documents in the file system, etc.

In accordance, occasions in which authors switch from authoring the document to searching evidence are monitored. This can be monitored by listening to browser events or file system events.

Features gathered may include, the time invested in each search and the amount of content propagated from evide...