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Method and System for Dynamically Displaying Real-time Information to a User based on Human Computer Interface (HCI) Analysis

IP.com Disclosure Number: IPCOM000199136D
Publication Date: 2010-Aug-26
Document File: 3 page(s) / 56K

Publishing Venue

The IP.com Prior Art Database

Abstract

A method and system for dynamically displaying real-time information to a user based on Human Computer Interface (HCI) analysis is disclosed. The real-time information includes, but is not limited to, news feed, tweets, and status updates on microblogging or social networking platforms. The Human Computer Interface (HCI) analysis includes detecting brainwaves, tracking eyeballs and recognizing facial expressions of the user for dynamically interpreting the user's moods, reactions and thoughts on the real-time information. Thereafter, based on the user's moods, reactions and thoughts, the real-time information is dynamically modified and displayed to the user.

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Method and System for Dynamically Displaying Real -time Information to a User based on Human Computer Interface (HCI) Analysis

Disclosed is a method and system for dynamically displaying real-time information to a user based on Human Computer Interface (HCI) analysis. The HCI analysis includes, but is not limited to, brainwave detection, eyeballs tracking, detecting facial expressions, tracking scrolling/clicking activities using a mouse and other HCI methods. Further, based on the HCI analysis, the real-time information is dynamically modified using one or more of, but not limited to, hiding, prioritizing, sorting, grouping, organizing or highlighting all or part of the real-time information. Thereafter, the modified real-time information is displayed to the user.

Figure

The method and system for dynamically displaying real-time information to a user based on Human Computer Interface (HCI) analysis is exemplarily illustrated in the figure. The real-time information includes, but is not limited to, news feed, tweets, and status updates on microblogging or social networking platforms. Once the real-time information is displayed to the user, advanced HCI tools are used for performing HCI analysis of the user. The HCI analysis is performed for dynamically interpreting the user's moods, reactions and thoughts according to the real-time information displayed to

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the user. Subsequently, relevancy of the real-time information to the user is determined based on the user's moods, reactions and thoughts.

For example, the user may express disinterest in the real-time information that the user is currently reading. This disinterest of the user is determined based on the user's facial expressions, which are detected using a facial expression detection tool. Similarly, in another example, the user may have spent quite some time reading the real-time information indicating an interest in the real-time information. This interest of the user in the real-time information is identified based on movements of the user's eyeballs which are tracked by an eyeball movement tracker tool. In addition, a brainwave detection tool may be used for interpreting the user's moods, reactions and thoughts on the real-time information displayed to the user.

Thereafter, data pertaining to the HCI analysis performed on the user is fed to an analytics module as depicted in the figure. The analytics module processes the data fed to it and generates keywords, tags and metadata attributes that precisely reflect the user's moods, reactions and thoughts on the real-time information that the user is currently reading.

In the next step, the keywords, tags and metadata attributes along with the real-time information that the user is currently reading are fed to a relevance evaluator residing on the user's computer. For example, the relevance evaluator may include a JavaScript* code embedded in a web browser. T...