User Information Pushing via Short-Range ID Detection
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Solution Overview
Problem
Users face difficulties in remembering and accurately recalling user information, such as names and contact details, leading to embarrassment and inconvenience, especially in social interactions.
Innovation Solution
A method and device utilizing short distance communication (like NFC or Bluetooth) to obtain and push user information through a database, allowing users to toggle notifications, update information, and prevent unnecessary notifications by adding markers, ensuring timely and accurate identification of nearby users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If users rely on manual memory to remember user information, then users can maintain personal data without external systems, but users experience forgetfulness and inconvenience in social interactions
Solution Approach 1:
The system automatically retrieves and pushes user information without requiring manual intervention. When a detected UE approaches, the system autonomously queries the database using the obtained ID and pushes the corresponding user information to the user, eliminating the need for manual memory retrieval and improving both reliability and convenience.
Solution Approach 2:
The patent introduces an intermediary system comprising a database and a processing device that mediates between the detected UE and the user. The system obtains the ID of the detected UE, queries the database for corresponding user information, and automatically pushes this information to the user, serving as a mediator that eliminates forgetfulness without requiring the user to manually remember information.
2Loss of information
If the system pushes notifications for all detected UE IDs, then users receive complete information about nearby users, but users experience information overload and disturbance from unnecessary notifications
Solution Approach 1:
The system applies different quality attributes to different notification scenarios. It distinguishes between important and non-important UE IDs, applying push notifications selectively based on predefined importance levels. This local differentiation ensures that users receive complete information about important users while filtering out unnecessary notifications, thus reducing disturbance while maintaining information completeness where needed.
Solution Approach 2:
Instead of pushing notifications for all detected UE IDs (excessive action), the system implements partial action by selectively pushing notifications only for UE IDs marked as important. This partial approach prevents information overload and notification disturbance while still ensuring that users receive all critical information they need about nearby users.
3Measurement precision
If users manually update user information in the database, then users can maintain accurate data, but users experience time consumption and operational complexity
Solution Approach 1:
The system automatically manages user information updates without requiring manual intervention. When new user information is provided through the user interface, the system autonomously updates the database and adjusts the importance levels of corresponding UE IDs. This self-service mechanism maintains high information accuracy while eliminating the time consumption and operational complexity associated with manual updates.
4Speed
If the system continuously monitors and detects nearby UEs, then users can identify nearby users in real-time, but users experience increased energy consumption and device resource usage
Solution Approach 1:
The system implements periodic detection rather than continuous monitoring. The detection unit periodically obtains IDs of nearby UEs using short-distance communication, and the processing device periodically queries the database and pushes notifications. This periodic approach maintains real-time user identification capability while significantly reducing energy consumption and device resource usage compared to continuous monitoring.
Data Source
AI summary
The disclosure relates to a method, device, and non-transitory computer-readable medium for pushing user information. The method includes obtaining a first identity (ID) of a first user equipment (UE) through short distance communication; searching a first database to obtain first user information corresponding to the first ID, the first database including user information corresponding to respective ones of a plurality of UE IDs; and outputting a push notification including the first user information.


