Group Reaction Estimation via Subgroup Segmentation and Feedback
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Solution Overview
Problem
Current communication systems lack a mechanism for large groups to express opinions or take actions collectively, as they do not allow for a back channel where the group can send messages to the individual who initiated the communication, limiting the ability of communities to communicate effectively with each other or with individuals.
Innovation Solution
A computer-aided method that divides a group of agents into subsets, assigns them options, and collects reactions to infer a statistical estimation of the group's reaction to options, enabling communities to express opinions and make decisions collectively, similar to individual-level communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If current communication systems are used for one-to-many broadcasting, then information dissemination efficiency is improved, but the ability for the group to send collective messages back to the individual is lost
Solution Approach 1:
The patent segments the large group into smaller subgroups, where each subgroup evaluates a subset of proposals. This segmentation enables the system to process vast numbers of proposals efficiently while maintaining the ability to aggregate subgroup reactions into a collective group response, thus resolving the contradiction between efficiency and back-channel capability.
Solution Approach 2:
The patent implements a feedback mechanism where subgroup reactions to proposals are collected, processed, and aggregated to generate a collective group response that can be sent back to the individual. This feedback loop restores the back channel communication capability while maintaining efficient information dissemination through the structured subgroup evaluation process.
2Measurement precision
If all members of a large group evaluate all proposals individually, then evaluation completeness is improved, but time consumption and resource usage increase significantly
Solution Approach 1:
The patent divides the evaluation task into segments where different subgroups evaluate different subsets of proposals. This segmentation allows the system to achieve comprehensive coverage of all proposals through aggregation of subgroup evaluations, rather than requiring every member to evaluate every proposal, thus reducing time consumption while maintaining evaluation completeness.
Solution Approach 2:
The patent merges the evaluation results from multiple subgroups to generate a collective group response. By combining the partial evaluations from different subgroups, the system achieves complete evaluation coverage without requiring individual members to perform redundant evaluations, thereby reducing time and resource usage while maintaining measurement precision.
3Adaptability or versatility
If the group size increases to represent more diverse opinions, then representativeness is improved, but the complexity of coordinating evaluation and aggregation increases
Solution Approach 1:
The patent segments the large diverse group into manageable subgroups, each evaluating a specific subset of proposals. This segmentation reduces coordination complexity by localizing evaluation tasks within subgroups, while the systematic aggregation process ensures that diverse opinions from the entire large group are represented in the final collective response.
Solution Approach 2:
The patent introduces a new dimension of organization by structuring the evaluation process hierarchically across multiple levels: individual members within subgroups, subgroups evaluating proposal subsets, and the aggregation layer that combines subgroup responses. This dimensional restructuring manages coordination complexity by distributing tasks across hierarchical levels rather than requiring direct coordination among all group members.
Data Source
AI summary
The present invention provides systems and methods that provide knowledge about a reaction (e.g. interest) of a group (normally of people) with respect to a set of elements, wherein each group member can react in a different manner. Assuming that the group is accessible by electronic means (e.g. Internet) this system may be based on a group response algorithm to estimate group reaction minimizing workload of group members and minimizing the time needed.To minimize or reduce group members' workload and time, the algorithm uses statistic tools. The group response system estimates group reaction with previously set statistic reliability.The present invention can use too in some cases, secondary algorithms for specific cases.