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Improvement on Presentation Software to Make Use of Cognitive Metrics Feedback from an Audience Disclosure Number: IPCOM000248331D
Publication Date: 2016-Nov-15
Document File: 5 page(s) / 69K

Publishing Venue

The Prior Art Database


Disclosed is an improvement on presentation software to make use of cognitive metrics feedback from an audience that is translated to indications to the presenter or modifications of the upcoming content.

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Improvement on Presentation Software to Make Use of Cognitive Metrics Feedback from an Audience

This article describes a system, method, and computer program product designed to form an interface between a presentation software package and input of cognitive metric real-time feedback from the audience. The presenter's computer display or other notification device displays a general indication of the receptive mood of the audience.

The novel interface leverages the interpretation of biometric data, audio, and video according to predefined configuration by the presenter, and then translates that information into an actual alteration of content based on perceived audience feedback. Cognitive learning of points of interest and lack thereof over time allows the system to adjust presentations using actual feedback and presentation configuration.

The system performs the translation of biometric data by comparing preconfigured rules to the objective biometric/observed data input. This results in a translation into a specific percentage level of audience affectation (by lack of attention or other factors). The application system then performs rules-based actions to alter content, renaming it in the presentation, eliminating certain topics, or reducing or expanding content in the remaining sections as appropriate.

The novel system applies to audience members attending a presentation in person or in an online meeting. During the presentation, video/audio devices monitor the audience, capturing and reporting biometric levels to the application. The system uses an interface with pre-configured rules tables to convert out-of-spec biometric information (indicating audience disinterest or active engagement) into a visual cure for the presenter (e.g., a color-changing border on the presentation device). The interface determines if alternate content is available, and (if configured to do so) automatically alters the content as defined by the presenter.

Art exists with respect to presentation content modification based on remaining time. This solution differs in that it proposes limiting/modifying content based on audience interaction cognitive metrics, and not on a constant time parameter. In addition, this system can suggest different paths of content based on real-time feedback.

Methods exist for the observation, collection, and reporting of biometric data related to moods, states of mind, and physical comfort conditions. The novel system provides an interface which makes use of these metrics, comparing the collected data to a set of user-driven rules, translating the metrics into a visual warning cue for the presenter, and if configured by the presenter, the suggesting or making modifications to the remaining content in the presentation in response to the biometric feedback from the interface.

The components and process for implementing the novel cognitive metric feedback system for presentation improvement follow:

1. Author configures presenta...