Group Solution Generation System for Consensus Building
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing systems for collaborative problem-solving often overlook valuable inputs from non-expert group members and prioritize individual ideas through voting, leading to incomplete consensus solutions, which is inadequate for complex, qualitative problems.
Innovation Solution
A system that generates group solutions by identifying positively and negatively correlated solution statements from multiple users, creating comprehensive consensus solutions by prioritizing the most common and correlated statements, and optionally providing alternative solutions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If expert validation is used to identify the most likely correct answer, then solution accuracy is improved, but input diversity from non-expert group members is lost
Solution Approach 1:
The system merges expert validation with group consensus by integrating individual expert assessments with aggregated group inputs. The consensus solution combines multiple solution statements from various users while incorporating expert validation, thereby preserving both accuracy and input diversity rather than prioritizing one over the other.
Solution Approach 2:
The system serves multiple functions simultaneously: it validates solutions through expert assessment while also aggregating and synthesizing inputs from non-expert group members. This multi-functional approach allows the system to maintain both solution accuracy and input diversity within a unified consensus-generation framework.
2Productivity
If voting is used to select individual ideas with the greatest number of votes, then convergence on a single solution is achieved, but comprehensive consensus incorporating multiple perspectives is lost
Solution Approach 1:
The system extracts the consensus-generation function from simple voting mechanisms. Rather than relying solely on vote-counting to select a single winner, the system separates the selection process from the aggregation process, allowing multiple solution statements to be incorporated into a comprehensive consensus solution that reflects diverse group perspectives.
Solution Approach 2:
The system transitions from static voting outcomes to dynamic consensus-building. Instead of fixing on a single solution based on vote counts, the system dynamically synthesizes multiple solution statements into a comprehensive consensus that can incorporate evolving group perspectives and maintain productivity through iterative refinement.
3Loss of time
If individual ideas are ranked and selected through voting, then decision efficiency is improved, but internally consistent comprehensive solutions are compromised
Solution Approach 1:
The system introduces an intermediary consensus-generation process between individual voting and final solution selection. This intermediary mechanism synthesizes multiple solution statements into a coherent, internally consistent comprehensive solution, maintaining decision efficiency while ensuring logical coherence and stability in the final outcome.
Data Source
AI summary
One feature pertains to a computer-readable storage medium having instructions for generating group solutions stored thereon, the instructions when executed by at least one processor causes the processor to receive a plurality of solution statements from a plurality of users, determine that two or more solution statements of the plurality of solution statements are positively and significantly correlated with each other, and generate a group solution that includes the two or more solution statements determined to be positively and significantly correlated with each other. The two or more solution statements having the positive and significant correlation tending to be included concurrently in the plurality of solution statements received from the plurality of users.