Many-to-One Mobile Content Aggregation System
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Solution Overview
Problem
Existing methods for sharing information in a many-to-one manner, such as email and text messaging, are inefficient as they require manual organization and often include extraneous information, making it time-consuming for recipients to extract the desired data.
Innovation Solution
A system that organizes users into groups with a designated manager, allowing for customizable information settings to be applied across multiple user devices, enabling centralized collection, filtering, and transmission of relevant data to the manager, using a host server to facilitate efficient data capture and organization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If email or text messaging is used to collect information from multiple employees, then information can be transmitted to all employees, but the recipient must manually organize responses and labor through extraneous information in a general inbox
Solution Approach 1:
The patent segments the general inbox into organized categories and groups based on predefined information settings. Responses from multiple employees are automatically segmented into structured groups (e.g., by project, department, or information type) rather than appearing as a single chronological list, enabling the recipient to quickly locate specific information without manual sorting.
Solution Approach 2:
The system performs preliminary organization of information before it reaches the recipient. By pre-defining information settings, categories, and grouping rules, the system automatically organizes incoming responses in advance, so the recipient receives pre-sorted information rather than raw unorganized data requiring manual processing.
2Quantity of substance
If a general inbox is used to receive information from multiple sources, then all information can be collected, but extraneous information must be filtered through manual labor
Solution Approach 1:
The patent extracts relevant information from incoming responses based on predefined information settings and categories. The system automatically identifies and extracts specific data elements (such as project names, task details, or status updates) while filtering out extraneous information, delivering only the essential content to the recipient without requiring manual filtering.
Solution Approach 2:
The system introduces an intermediary organization layer between information collection and delivery. This intermediary automatically processes incoming information, applies filtering rules, and reorganizes content based on predefined settings, acting as a mediator that separates relevant from extraneous information before presentation to the recipient.
3Loss of information
If manual organization of information is performed, then information can be sorted, but the process is time-consuming and complex
Solution Approach 1:
The system performs self-service organization automatically without requiring manual intervention. Predefined information settings and grouping rules enable the system to autonomously categorize, sort, and organize incoming information from multiple employees, maintaining organized structure continuously without the recipient's time investment.
Data Source
AI summary
Systems and methods for sharing information between media devices of members of user groups in a many-to-one manner are presented herein. User groups may include group manager type users as managers of the user groups and group member type users as members of the user groups. Information may be shared between group members and group managers of associated user groups. The group managers receive aggregate information comprising information captured from the media devices of the members of the associated user group for display on the media devices used by the group managers.