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Method and system for capturing and reporting participant attention during web meetings Disclosure Number: IPCOM000233331D
Publication Date: 2013-Dec-06
Document File: 2 page(s) / 35K

Publishing Venue

The Prior Art Database


Disclosed is a system that determines the degree to which participants in a web meeting are distracted and reports that distraction level to the other participants in the meeting.

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Method and system for capturing and reporting participant attention during web meetings

A limitation of web conferences is that presenters are unable to determine the degree to

which the audience is engaged in the presentation. Physical indicators, such as eye contact, are not available to the web presenter as said indicators are to in -person presentations.

The disclosed system enhances the web conference experience by making information about participants' attention levels visible to other participants. This attention level can be determined empirically, for example by measuring the user's level of engagement

with the computer (e.g., typing, mousing, switching applications), the cell phone (e.g., making/receiving calls, accelerometer, ambient noise, gaze direction), or other devices in the office (e.g. making/receiving calls, noise level in their office, number of people in their office). Biometric measures can also be used to measure attention , such as using eye tracking to determine whether a user is looking at the web conference vs . looking at other things. Attention can also be determined by asking the user questions directly or indirectly related to the current activities (e.g., "how distracted do you feel" or "how many tasks are you working on at the moment"). Further, predictive models can be trained for individual users to determine how associated computer activities and biometric indicators (e.g., heart rate, Galvanic Skin Response (GSR), blink rate) determine the degree to which one is distracted. These models can be used to adjust
or improve the accuracy of a distraction score.

Once an individual's level of distraction has been determined, it can be reported to the

web conference server. The web conference server can collect the distraction scores for each participant and report the scores individually via the web conference user interface. It can also aggregate these scores to report statistics on the distraction of the audience as a who...