Meeting Interaction Map Generation via Audio Video Analytics
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Human resource departments face challenges in assessing and managing workforce performance, employee interactions, and turnover prediction, as existing methods are often time-consuming and invasive, and lack comprehensive insights into actual work behaviors.
Innovation Solution
An apparatus and method that utilize recorded meeting information to automatically generate interaction maps by determining meeting participant emotion, speaker role, and engagement information, leveraging audio and video analytics to provide insights into employee interactions and behaviors without direct observation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional methods are used to assess workforce performance and employee interactions, then direct observation and manual assessment can be performed, but the process becomes time-consuming and invasive
Solution Approach 1:
The patent replaces manual observation and assessment mechanisms with automated audio and video analytics systems. The system automatically processes meeting recordings to extract interaction data, replacing the time-consuming manual assessment process with automated computational analysis that achieves comparable or superior measurement precision without requiring direct human observation.
Solution Approach 2:
The system enables self-service analysis by automatically processing meeting recordings and generating interaction maps without requiring HR professionals to manually review each interaction. The automated system serves itself by extracting insights from audio and video data, reducing the time investment needed for assessment while maintaining comprehensive coverage of employee behaviors.
2Loss of information
If comprehensive assessment of employee interactions is performed, then detailed insights into workforce dynamics are obtained, but the cost and complexity of implementation increases
Solution Approach 1:
The patent segments the complex assessment task into distinct analytical components: audio analysis for speaker identification and topic extraction, video analysis for engagement detection, and interaction mapping for relationship visualization. This segmentation allows the system to process comprehensive interaction data through modular analysis stages, reducing overall system complexity while maintaining comprehensive insights.
Solution Approach 2:
The system achieves multi-functionality by using a single integrated platform to perform multiple assessment functions simultaneously - analyzing audio content, processing video data, identifying speakers, detecting engagement levels, and generating interaction maps. This universal approach consolidates what would otherwise require multiple separate assessment tools into one cohesive system, reducing complexity while providing comprehensive insights.
3Reliability
If manual monitoring of employee behaviors is implemented, then direct assessment is possible, but it creates invasive observation and high operational costs
Solution Approach 1:
The patent introduces automated audio and video analytics as intermediary systems that mediate between the assessment goal and the employees being evaluated. Instead of direct human observation which feels invasive, the system uses automated intermediaries to process meeting recordings and extract interaction patterns, maintaining assessment reliability while eliminating the harmful effect of invasive human monitoring.
Solution Approach 2:
The system replaces manual monitoring mechanisms with automated computational analysis. By substituting human observers with automated audio and video processing systems, the patent maintains the accuracy needed for reliable performance assessment while eliminating the invasive nature of direct human observation, as the automated system processes data without creating psychological pressure on employees.
Data Source
AI summary
An example method is provided and includes receiving recorded meeting information, selecting a meeting participant from the recorded meeting information, determining at least one of meeting participant emotion information, meeting participant speaker role information, or meeting participant engagement information based, at least in part, on the meeting information, and determining an interaction map associated with the meeting participant based, at least in part, on at least one of the meeting participant emotion information, the meeting participant speaker role information, or the meeting participant engagement information.


