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Cognitive Feedback for Presentation Disclosure Number: IPCOM000244179D
Publication Date: 2015-Nov-20
Document File: 3 page(s) / 153K

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The Prior Art Database


Disclosed is a system to assist presenters in improving upon both current and future presentations based on audio and visual information collected and analyzed during an active presentation. The system automatizes the video/photograph processing as well as presenter learning by applying existing cognitive technologies to identify and report on areas of improvement.

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Cognitive Feedback for Presentation

Delivering a presentation to an audience is often a difficult task, which is often made more difficult when an audience is distracted by mobile devices. The speaker has a lot of work during the event: delivering the presentation and, at the same time, receiving feedback about audience's behavior, and then trying to adapt the presentation to match the audience's reactions and expectations . This could be nearly impossible with huge audiences.

Current methods for presentation analysis include capturing video, photographs, notes, etc., which the presenter can review after the presentation. Changes can only be made for future presentations based on the analysis .

A system is needed to assist speakers in detecting useful patterns in, and information about, the non-verbal communication that happens during the presentation event. The presenter could then use what is learned to improve future presentations and /or review the current presentation to enhance it in the moment.

The novel contribution is a system that automatizes the video/photograph processing as well as learning by applying existing cognitive technologies. These technologies include systems for vision and sentiment analysis, visual recognition, digital communication analysis, and speech to written word conversion. The novel system provides automatic and personalized feedback to the speaker during (or during a break) or after a presentation.

Based on image, sound, and video recognition, the system analyzes the reactions of the audience and the speaker during the presentation. It uses neurolinguistics programming techniques to develop a summary report showing the higher and lower moments of the audience's attention...