Viewpoint Camp Visualization for Multi-Party Discussions
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Solution Overview
Problem
Multi-party discussions in telecommunications systems face challenges such as divergent viewpoints, lack of engagement, and cognitive burdens on decision-makers due to the abundance of participants and differing opinions, leading to inaccurate consensus representation.
Innovation Solution
A system and method for visualizing viewpoints using natural language processing, machine learning, and artificial intelligence to analyze and synthesize participant statements, emotions, and sentiments, generating dynamic graphs and visual representations to illustrate consensus and convergence within multi-party discussions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If all participant viewpoints are individually tracked and analyzed, then measurement precision of consensus is improved, but device complexity increases due to the need to process abundant participant statements
Solution Approach 1:
The patent merges multiple individual participant viewpoints into synthesized viewpoint camps, grouping similar perspectives together. This consolidation maintains measurement precision by preserving the essence of consensus while reducing device complexity by processing grouped viewpoints rather than individual statements from each participant.
Solution Approach 2:
The system creates synthesized representations (copies) of viewpoint camps that capture the collective sentiment of multiple participants. These synthesized viewpoint camps serve as simplified models that maintain the informational value needed for accurate consensus measurement while significantly reducing the complexity of processing all individual participant inputs.
2Loss of information
If natural language processing is applied to analyze all participant statements, then information completeness is improved, but loss of time increases due to processing requirements
Solution Approach 1:
The system extracts key viewpoint elements from participant statements and synthesizes them into representative viewpoint camps. This extraction process maintains information completeness by capturing essential consensus data while reducing processing time by focusing computational resources on synthesizing representative viewpoints rather than analyzing every individual statement in detail.
Solution Approach 2:
The patent applies partial action by synthesizing a subset of viewpoints that represent the broader participant positions. Rather than processing all possible participant statements exhaustively, the system identifies and synthesizes representative viewpoints that capture the essential consensus information, thereby maintaining information completeness while significantly reducing processing time.
3Ease of operation
If synthesized viewpoint camps are generated to represent participant positions, then ease of operation is improved, but device complexity increases due to synthesis algorithms
Solution Approach 1:
The synthesized viewpoint camps act as intermediaries between individual participant statements and final consensus analysis. These intermediary representations simplify the decision-making process by providing a consolidated view of participant positions, making it easier to identify consensus while the underlying synthesis algorithms handle the complexity of aggregating multiple viewpoints.
Data Source
AI summary
Techniques are described with respect to a system, method, and computer product for visualizing viewpoints. An associated method includes receiving access to a multi-party discussion occurring via a telecommunication system and analyzing the multi-party discussion using natural language processing. The method further includes extracting a plurality of viewpoints of the multi-party discussion based on the analysis, synthesizing a subset of the plurality of viewpoints based on the content of each viewpoint of the plurality of viewpoints, and transmitting a rendered synthesized visualization of the subset.