Web Conferencing Exit Content Generation
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Solution Overview
Problem
Existing web conferencing systems fail to provide an engaging experience for participants after they have exited a web conference, as conventional approaches are generic and not tailored to individual participants, lacking consideration for their level of engagement and attendance.
Innovation Solution
A web conferencing system that dynamically generates exit and post-exit content based on the exit context of a participant, which includes tracking data such as conference content, participant interactions, and user profile information to create personalized content summaries, invitations to breakout sessions, and other relevant materials.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If generic post-exit content is provided to all participants, then the system complexity is low, but the participant engagement and satisfaction deteriorate
Solution Approach 1:
The patent segments participants into different groups based on their engagement level, attendance duration, and interaction patterns. By dividing the participant base into segments (e.g., high-engagement, low-engagement, early-exit, late-exit groups), the system can deliver tailored exit content to each segment rather than using a generic approach, thereby improving adaptability without requiring complete customization for each individual participant.
Solution Approach 2:
The system performs preliminary analysis of participant behavior data during the webinar to predict engagement levels and determine appropriate exit content before the participant actually exits. By pre-processing and pre-categorizing participant data in real-time, the system prepares personalized exit recommendations in advance, reducing the computational complexity at the moment of exit while maintaining high adaptability.
2Measurement precision
If comprehensive participant data is tracked and analyzed, then the accuracy of exit content personalization improves, but the data processing time and computational resources increase
Solution Approach 1:
The patent implements partial data collection by focusing on key engagement metrics (e.g., attendance duration, chat participation, poll responses, Q&A interactions) rather than tracking every possible participant action. This selective approach captures sufficient information to determine engagement level and generate appropriate exit content while minimizing data processing overhead and time delays.
Solution Approach 2:
The system employs real-time processing of participant data as it is generated, continuously updating engagement metrics without requiring batch processing or post-event analysis. By processing data in a self-service manner during the webinar itself, the system maintains high measurement precision while avoiding the time loss associated with retrospective data analysis.
3Productivity
If personalized exit content is generated for each participant, then participant engagement improves, but the computing resources required increase
Solution Approach 1:
The patent creates a small set of standardized exit content templates (e.g., summary slides, key takeaways, resource lists, Q&A compilations) that can be universally applied to different participant segments. Rather than generating completely unique content for each participant, the system selects and customizes from a universal template set based on engagement level, significantly reducing computing resource requirements while maintaining personalized engagement benefits.
Solution Approach 2:
The system varies parameters of existing content templates (such as filtering which slides to include, which resources to highlight, or which time period to summarize) rather than generating entirely new content. By changing parameters like content scope, detail level, and focus area based on participant behavior, the system achieves personalized delivery with minimal additional computational overhead.
Data Source
AI summary
Systems and methods dynamically generate tailored exit and post-exit content for web conferences. During presentation of conference content for a web conference, metadata is stored for one or more participant interactions with the web conference via a web conferencing client on a user device. Data associated with an exit from the web conference for the web conferencing client is received. Responsive to the data associated with the exit from the web conference, content is generated based on an exit context determined at least in part on the metadata regarding the one or more participant interactions. The generated content is provided for presentation on the user device.


