NLP Aggregate User Model for Teleconference Feedback
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Solution Overview
Problem
Current feedback systems for evaluating performances and meetings lack real-time, dynamic measurement capabilities, especially in teleconferences where verbal communication restricts immediate feedback and visual cues are absent, leading to difficulties in gauging audience reaction and interest.
Innovation Solution
A natural language processing (NLP) system that generates an aggregate user model based on personality traits of audience members, allowing for real-time customization and modification of performances to resonate better with the audience, and provides feedback analysis to improve engagement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If traditional feedback systems are used in teleconferences, then setup effort is reduced, but real-time feedback measurement capability is lost
Solution Approach 1:
The system automatically analyzes communications and generates feedback without requiring manual setup or active participation from audience members. The NLP system processes communications autonomously to extract feedback signals, eliminating the need for complex polling mechanisms while maintaining real-time measurement capability.
Solution Approach 2:
The patent replaces mechanical feedback collection mechanisms (polling systems, hardware devices) with natural language processing of communications. By substituting the mechanical interaction model with automated text analysis, the system achieves both ease of implementation and real-time feedback measurement.
2Measurement precision
If audience members actively provide feedback through polling mechanisms, then feedback quality improves, but audience member willingness and desire are required
Solution Approach 1:
The system extracts feedback information from communications that audience members are already sending as part of normal participation. By analyzing existing communications rather than requiring separate feedback actions, the system maintains feedback quality without depending on additional audience member effort or willingness.
Solution Approach 2:
The NLP system acts as an intermediary that extracts feedback signals from regular communications. Instead of requiring direct feedback input from audience members, the system intermediates by analyzing their existing communications to derive feedback information passively.
3Adaptability or versatility
If teleconference systems are used to replace in-person meetings, then accessibility improves, but immediate feedback and visual cues are attenuated
Solution Approach 1:
The system substitutes the loss of visual and immediate feedback channels with automated natural language processing of communications. By analyzing text communications in real-time, the system recovers feedback information that would otherwise be lost in teleconference environments, compensating for the absence of visual cues.
Solution Approach 2:
The system implements continuous feedback loops by analyzing communications and using the extracted feedback to dynamically adjust content delivery. This creates a real-time feedback mechanism that compensates for the attenuated immediate feedback inherent in teleconferencing, allowing moderators to respond to audience reactions despite the remote format.
4Productivity
If moderators use their own judgment to direct meetings, then meeting flow is maintained, but risk of alienating participants increases
Solution Approach 1:
The system provides continuous feedback about participant reactions and communication patterns to the moderator. By analyzing communications in real-time, the system gives moderators objective data about participant engagement and sentiment, allowing them to adjust their approach based on actual feedback rather than subjective judgment alone, thereby reducing the risk of alienating participants.
Solution Approach 2:
The NLP system acts as an intermediary between participants and the moderator, providing analyzed feedback information that bridges the information gap. This intermediary provides objective data about participant reactions, enabling moderators to make more informed decisions that align with participant preferences while maintaining meeting flow.
Data Source
AI summary
Mechanisms, in a natural language processing (NLP) system are provided. The NLP system receives a plurality of communications associated with a communication system, over a predetermined time period, from a plurality of end user devices. The NLP system identifies, for each communication in the plurality of communications, a user submitting the communication to thereby generate a set of users comprising a plurality of users associated with the plurality of communications. The NLP system retrieves a user model for each user in the set of users, which specifies at least one attribute of a corresponding user. The NLP system generates an aggregate user model that aggregates the at least one attribute of each user in the set of users together to generate an aggregate representation of the attributes of the plurality of users in the set of users. The NLP system performs a cognitive operation based on the aggregate user model.