Ternary Opinion Graphs for Consensus Trade-Off Visibility
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Solution Overview
Problem
Existing consensus building methods using two-dimensional planes, three-dimensional bar graphs, or bubble charts fail to consider mutual interference or trade-offs between multiple evaluation axes, leading to poor visibility and lack of facilitation for consensus achievement.
Innovation Solution
A consensus building support system that utilizes a ternary graph to display individual and group opinions, using line segments to represent ternary values, allowing for high visibility and facilitation of consensus building.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If two-dimensional plane, three-dimensional bar graph, or bubble chart is used to display opinions, then the display method is simple, but visibility and ability to show mutual interference or trade-off between multiple evaluation axes deteriorates
Solution Approach 1:
The patent transitions from two-dimensional display methods (plane, bar graph, bubble chart) to a three-dimensional coordinate system where each axis represents a different evaluation standard. This dimensional change allows simultaneous display of multiple evaluation dimensions and their interrelationships, making mutual interference and trade-offs visible through the spatial arrangement of data points in 3D space.
2Quantity of substance
If three-dimensional vectors are used to display individual opinions for three evaluation standards, then all opinions can be displayed, but visibility deteriorates when many opinions are displayed and facilitation is not provided
Solution Approach 1:
The patent combines multiple individual opinion vectors into a group opinion vector through vector addition. This merging process aggregates numerous individual opinions into a single representative vector that captures the collective stance, maintaining visibility while preserving the essential information about group consensus or disagreement patterns.
Solution Approach 2:
The patent introduces a facilitation function that analyzes the spatial relationship between individual opinion vectors and the group opinion vector. This intermediary analysis identifies consensus possibility points and provides facilitation guidance, making the complex multi-vector data interpretable and actionable for consensus building.
Data Source
AI summary
Consensus building is supported by providing multiple values to a consensus building process with good visibility.A consensus building support system includes: a graph generation unit configured to generate a ternary graph based on options regarding ternary values; an acquisition unit configured to acquire at least one of individual opinions about the options or a group opinion which is an aggregation of a plurality of individual opinions; and a display unit configured to display, on the ternary graph, a triangle formed by three line segments indicating the individual opinions or the group opinions regarding each of the ternary values by indicating each of the individual opinions or the group opinions regarding the ternary values with one line segment.