Online Presentation Feedback Scaling via Selective Tagging
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Solution Overview
Problem
In on-line presentation environments, the increasing number of viewers leads to overwhelming bandwidth consumption due to excessive feedback information and acknowledgement receipts, causing performance issues.
Innovation Solution
Implementing mechanisms to scale acknowledgement receipts by restricting the number of attendees sending feedback and selectively tagging significant screen updates for acknowledgement, which can be static or dynamic and centralized or distributed, allowing the presenter to focus on key viewers with higher bandwidth or randomly selecting viewers for confirmation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all viewers send acknowledgement receipts for every screen update, then the presenter receives complete feedback on delivery status, but bandwidth consumption increases exponentially with the number of attendees
Solution Approach 1:
The patent segments the feedback mechanism by dividing viewers into different categories (e.g., based on engagement level, session role, or random selection) and applying different acknowledgement policies to each segment. This allows selective feedback collection that maintains reliability for critical updates while reducing overall bandwidth consumption.
Solution Approach 2:
Instead of requiring full acknowledgement from all viewers for every update, the system implements partial acknowledgement where only a subset of viewers sends feedback, or acknowledgement is requested only for significant screen changes. This partial action approach maintains sufficient feedback reliability while dramatically reducing bandwidth usage.
2Measurement precision
If the system tags all screen updates for acknowledgement, then the presenter receives detailed feedback on each update, but the complexity of managing feedback increases with the number of updates
Solution Approach 1:
The patent applies local quality by differentiating the treatment of different screen updates based on their characteristics (e.g., update size, type, or importance). Significant updates are tagged for acknowledgement while minor updates are not, reducing management complexity while maintaining precision for critical feedback.
Solution Approach 2:
The system extracts and separates the acknowledgement tagging function from the general screen update transmission process. By using metadata tags that can be added selectively, the system maintains precise tracking capability while simplifying the overall management through clear separation of concerns.
3Ease of manufacture
If the system uses static selection of participants for feedback, then the feedback mechanism is simple to implement, but the system cannot adapt to changing presentation needs or viewer engagement levels
Solution Approach 1:
The patent implements dynamics by allowing the participant selection criteria to change over time based on presentation context, viewer engagement metrics, or system configuration. The feedback mechanism can transition from static to dynamic selection, maintaining implementation simplicity while gaining adaptability to changing needs.
Data Source
AI summary
Methods and systems for receiving feedback from a scalable number of participants of an on-line presentation. One method includes analyzing a screen change data set at a first computing device of an on-line presentation environment, tagging the screen change data set as requesting acknowledgement by the one or more viewers, and transmitting the screen change data set to the one or more viewers. The method also includes receiving a confirmation of receipt of the tagged screen change data set, generating a representation of the tagged screen change data set in response to receiving the confirmation of receipt, and displaying the generated representation at a presenter.