Real-Time Conference Engagement Scoring System
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Solution Overview
Problem
Existing conferencing solutions lack real-time feedback on the effectiveness of conference calls, relying on manual analysis of recordings and failing to consider additional sensory inputs, which is time-intensive and does not provide real-time data to presenters.
Innovation Solution
A system that gathers engagement data from participants, including audio, video, and other interactions, to generate a real-time engagement score, providing anonymous feedback to presenters and allowing for dynamic adjustments during the conference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual analysis of conference recordings is used to measure participation effectiveness, then analysis can be performed with contextual understanding, but it is time-intensive and does not provide real-time feedback
Solution Approach 1:
The patent replaces manual mechanical analysis of conference recordings with an automated computer-based system that processes audio, video, and sensor data in real-time. The system uses algorithms to detect speaker activity, analyze speech patterns, and generate participation metrics without human intervention, thereby eliminating the time loss associated with manual analysis while maintaining measurement precision through multiple data sources.
Solution Approach 2:
The conference system automatically performs its own analysis of participation effectiveness by processing its generated data (audio recordings, video feeds, sensor inputs) through integrated algorithms. The system self-generates participation metrics and feedback without requiring external manual analysis, enabling real-time measurement and eliminating the time delay between conference completion and analysis.
2Productivity
If only audio recordings are used for real-time feedback, then processing is simpler and faster, but additional sensory inputs that could improve accuracy are not considered
Solution Approach 1:
The patent merges multiple data sources including audio recordings, video feeds, and sensor inputs (such as camera activity detection, microphone usage, and device orientation data) into a unified analysis system. By combining these diverse inputs, the system achieves both real-time processing speed and improved measurement precision, as each data source complements the others to provide a more complete picture of participant engagement.
Solution Approach 2:
The system implements a multi-functional analysis platform that can process and interpret various types of data (audio, video, sensor inputs) through a single integrated system. This universal approach allows the system to maintain real-time processing capabilities while incorporating multiple sensory inputs, as the same computational infrastructure handles all data types efficiently.
3Measurement precision
If comprehensive engagement data is collected from multiple sources, then measurement accuracy improves, but system complexity and data processing requirements increase
Solution Approach 1:
The patent introduces an intermediary processing layer that standardizes and normalizes data from multiple sources before analysis. This intermediary system converts diverse inputs (audio, video, sensor data) into a unified format, simplifying the overall system architecture while maintaining comprehensive data collection. The intermediary layer handles the complexity of multi-source integration, allowing the core analysis engine to focus on generating accurate engagement metrics.
Data Source
AI summary
Disclosed herein are systems, methods, and computer-readable storage media for tracking engagement of participants in a presentation. An example system implementing the method can identify a presenter in a conference and participants in the conference. Then the system can gather, during a presentation by the presenter in the conference, engagement data about the participants. The system can generate or calculate an engagement score based on the engagement data, and present the engagement score to the presenter during the presentation. The system can gather the engagement data from participant devices through which the participants are accessing the presentation or from other participant devices not directly involved with the presentation. The engagement data can include participant voice activity in the conference, participant voice activity with others outside of the conference, participant audio data, participant video data, participant mute status, participant interactions with other applications, participant interactions with computing devices and participant multi-tasking.