Meeting Interest Analyzer Based on Capture Attempts
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Solution Overview
Problem
In online collaborative meetings, it is challenging for meeting hosts to determine which content is most relevant to attendees, as existing systems fail to effectively track and analyze capture events such as screenshots or recordings, especially in large-scale settings where hundreds of users may be present, lacking the ability to provide metadata that correlates captures with displayed content.
Innovation Solution
A system and method that monitor capture events during meetings by analyzing capture applications on user devices, determining if a capture event has occurred, and providing metadata to the meeting host, including the number and timing of captures, allowing the host to customize their presentation content based on user interest.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing systems track capture events in large-scale meetings, then user interest analysis capability is improved, but system complexity and computational load increase significantly
Solution Approach 1:
The patent introduces an intermediary system comprising a meeting management application and interest analyzation application that acts as a mediator between capture applications and the meeting host. This intermediary layer collects, processes, and analyzes capture event data centrally, preventing direct complex interactions between hundreds of user devices and the host system. The intermediary aggregates capture metadata, correlates it with presentation content, and provides simplified feedback to the host, thereby maintaining measurement precision while controlling system complexity.
Solution Approach 2:
The system implements feedback mechanisms where capture event information is analyzed and presented back to the meeting host in actionable formats. The interest analyzation application processes capture data and provides feedback about user interest levels, allowing the host to adjust presentations based on real-time or post-meeting analysis. This feedback loop enables precise user interest measurement without requiring the host system to directly manage the complexity of individual capture events from each participant.
2Measurement precision
If the system analyzes capture applications on user devices, then capture event detection accuracy is improved, but user privacy concerns and data security risks increase
Solution Approach 1:
The patent extracts only the necessary metadata from capture applications rather than accessing or storing full capture content. The system collects information such as capture timestamps, duration, and basic event types without extracting or storing the actual screenshot images or recorded video content. This extraction approach enables accurate capture event detection while minimizing privacy intrusion by removing sensitive visual content from the analysis pipeline, addressing user privacy concerns while maintaining detection precision.
Solution Approach 2:
The meeting management application serves as an intermediary that handles capture data collection and analysis without exposing raw capture content to the host or other users. The interest analyzation application processes captured metadata through anonymized analysis, preventing direct access to sensitive user data while still enabling accurate detection and analysis of capture events. This intermediary architecture isolates privacy-sensitive operations from the main system.
3Adaptability or versatility
If the system provides detailed capture metadata to meeting hosts, then content customization capability is improved, but information processing load and analysis time increase
Solution Approach 1:
The system performs preliminary indexing of presentation content and pre-processing of capture metadata during the meeting or in advance. The interest analyzation application correlates capture events with presentation slides, sections, or topics beforehand, organizing data into pre-computed interest metrics. This preliminary action enables the host to access ready-analyzed information for content customization without experiencing real-time analysis delays, thus improving adaptability while minimizing additional analysis time.
Solution Approach 2:
The system provides selectively processed capture metadata rather than complete raw data to the host. The interest analyzation application identifies and presents only the most relevant capture patterns, such as high-interest sections or recurring capture themes, rather than processing and displaying every individual capture event. This partial action approach delivers sufficient information for effective content customization while reducing the overall information processing load and analysis time required.
Data Source
AI summary
An embodiment for analyzing user interest in presented content based on capture attempts during a meeting is provided. The embodiment may include receiving presentation content from a meeting host. The embodiment may also include analyzing one or more capture applications on a device of one or more users for a capture event in response to receiving the presentation content from the meeting host. The embodiment may further include in response to determining the capture event has occurred, identifying information relating to the capture event and the one or more users who initiated the capture event. The embodiment may also include presenting the meeting host with the information relating to the capture event and the one or more users who initiated the capture event.