Automated Contact Updates for Selective Notification Continuity
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Solution Overview
Problem
Existing communication systems fail to seamlessly manage contact information updates, leading to disruptions and inefficiencies when users change their contact details or network connectivity, especially with dual-SIM and eSIM technologies, and lack a unified system for selective notification of contact changes.
Innovation Solution
A system that automates the process of updating contact details across various platforms and networks, using communication history to identify a subset of contacts for selective notification, ensuring seamless communication continuity and user privacy, with features like customizable user interfaces and integration with cloud services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual notification of contact changes is implemented, then communication continuity can be maintained, but time consumption and error probability increase significantly
Solution Approach 1:
The system automatically detects contact information changes and initiates notification sequences without requiring manual user intervention. The automated system serves itself by monitoring its own contact data and executing update protocols, thereby maintaining communication reliability while eliminating the time burden of manual updates.
Solution Approach 2:
The system performs preliminary actions by proactively detecting contact information changes before they disrupt communication. By monitoring contact data and preparing notification sequences in advance, the system prevents communication breaks rather than reacting to them after occurrence.
2Reliability
If all contacts are notified of contact information changes, then communication continuity is ensured, but user privacy and unwanted notifications increase
Solution Approach 1:
The system applies different notification qualities to different contacts based on their relationship to the user. By analyzing communication history and contact categories, the system selectively notifies only relevant contacts (such as frequent communicators or specific categories) while excluding others, thereby maintaining communication continuity for important contacts while preventing unwanted notifications to others.
Solution Approach 2:
Instead of notifying all contacts universally, the system performs partial action by selectively notifying only the subset of contacts who need to be informed. This partial notification approach avoids the harmful effect of overwhelming users with unnecessary information while still ensuring communication continuity for those who require it.
3Reliability
If contact information updates are automated across all platforms, then communication reliability improves, but system complexity increases
Solution Approach 1:
The system introduces an intermediary layer that sits between the user's contact information and multiple communication platforms. This intermediary automatically manages the complexity of cross-platform updates by translating contact changes into appropriate notifications across different services, thereby improving communication reliability without exposing the user to system integration complexity.
Solution Approach 2:
The system achieves multi-functionality by implementing a universal contact update mechanism that works across multiple communication platforms simultaneously. A single automated system handles diverse notification requirements for different services, consolidating what would otherwise require multiple separate management systems into one unified solution.
4Reliability
If frequent contact updates are sent, then communication continuity is maintained, but user experience deteriorates due to notification fatigue
Solution Approach 1:
The system performs partial notification action by sending updates only to contacts who need them, rather than flooding all contacts with frequent notifications. This selective approach maintains communication continuity for relevant contacts while avoiding notification fatigue for users who don't require updates, thereby preserving user experience.
Solution Approach 2:
The system incorporates feedback mechanisms by analyzing communication patterns and contact relationships to determine notification necessity. By continuously monitoring interaction data, the system adjusts notification frequency and targeting to maintain communication reliability while minimizing unnecessary notifications that would degrade user experience.
Data Source
AI summary
Systems and methods are provided herein for managing contact information in a manner personalized to the preferences of a user. Particularly, systems and related methods are disclosed for enabling continuity of communication between users when there is a change in the contact details of a user. Upon detecting a change in the contact details of a user, the system determines a recommendation of contacts to be notified of the change based on a communication history of the user, provides the user with options for updating contacts of the change, and updates the contact details of the user in cloud-based accounts. Following the updating process, messages specifying the original, outdated contact detail of the user are identified and subsequently rerouted or otherwise managed accordingly.