Trust Group Management for Personalized Assistance
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Solution Overview
Problem
Current software applications for assisting individuals with disabilities and elders are often costly, lack trained volunteers, and fail to provide efficient support for everyday tasks, particularly in navigating challenges like financial assistance and online purchases, with many users experiencing periods of unavailability due to inadequate infrastructure and volunteer training.
Innovation Solution
A computer-implemented method generates personalized responsive assistance by associating users with personally known and vetted assistance providers through a trust group management system, ensuring geographic and temporal constraints are met, and providing a simple interface for users to request help, prioritizing notifications, and arranging professional backup when needed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing software applications provide assistance services to individuals with disabilities and elders, then assistance is available, but the services are costly and beyond the financial abilities of many users
Solution Approach 1:
The system enables users to self-manage their assistance network by allowing them to select, train, and manage their own support team through the trust group manager interface. Users can independently add members to their trust group, set notification preferences, and control assistance parameters without requiring expensive professional services.
Solution Approach 2:
The patent introduces a trust group manager as an intermediary component that mediates between the user and the assistance network. This manager handles the complex tasks of coordinating notifications, managing trust group members, and orchestrating assistance requests, thereby simplifying the system for users while maintaining reliable assistance.
2Reliability
If volunteers are used to provide assistance, then support is available, but the volunteers are not bonded or trained to an adequate level for adequate care
Solution Approach 1:
The system performs preliminary actions by requiring users to pre-select and pre-train their trust group members before actual assistance is needed. Users can advance train members through the system's training module and establish their roles in advance, ensuring they are prepared and bonded to the user's specific needs before an assistance event occurs.
Solution Approach 2:
The system implements feedback mechanisms where trust group members receive notifications based on user-defined criteria and can be evaluated on their performance. The system tracks assistance delivery and can provide feedback to both users and members, allowing for continuous improvement of support quality and reinforcing the bond between user and supporter.
3Reliability
If trained supporters are found and maintained, then adequate support is provided, but the effort is challenging and users are stuck without support for periods of time
Solution Approach 1:
The system ensures continuous support by maintaining an active trust group with multiple members who are continuously notified and ready to provide assistance. The notification system continuously monitors user status and immediately alerts appropriate members when assistance is needed, eliminating gaps in support and ensuring continuous useful action without interruption.
Solution Approach 2:
The system dynamically adjusts the assistance network based on real-time conditions. When a user needs help, the system dynamically notifies appropriate trust group members based on availability, location, and expertise. The system can dynamically add or remove members from the trust group based on user needs and member capabilities, ensuring optimal support availability at all times.
4Reliability
If massive infrastructure is used to maintain support, then connection between users and supporters is possible, but the infrastructure is complex and difficult to maintain
Solution Approach 1:
The system segments the assistance network into modular trust groups, where each user has their own independent trust group managed by a trust group manager. This segmentation allows the system to maintain complex connection capabilities through simple, user-specific groups rather than a monolithic infrastructure, making the system easier to maintain and scale.
Data Source
AI summary
A computer implemented method for generating personalized responsive assistance for a person needing assistance (PNA) is disclosed. The method begins with the system receiving a PNA's contact data and a trust group manager's (TGM) contact data. The system then sends a request to the TGM for association of TGM's device with PNA's device. The system then receives approval and proceeds with storing an indicator of the association of the devices. The TGM then sends the system a person providing assistance's (PPA) data. The system will then send an invite to the PPA, to join a trust group associated with the PNA. After the PPA accepts the invite to join the PPA group, the system will receive a request for an audio/visual connection between the PNA and the PPA. As the PNA is in need of assistance, an audio/visual connection will be permitted allowing the PPA to help the PNA.