Social Network Service Using Motion-Based User Relationship Formation
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Solution Overview
Problem
Conventional social network services require users to access a server and input information to form relationships, which is inconvenient, time-consuming, and costly.
Innovation Solution
A social network service system that allows users to form relationships by generating requests through motions of mobile terminals, such as shaking or bumping them, using location and distance information, and local/arrival times to identify and provide user information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users manually input information to form relationships through server access, then relationship formation can be controlled and verified, but the process becomes time-consuming and inconvenient
Solution Approach 1:
The patent replaces the mechanical manual input system with an automated motion-sensing system. Mobile terminals use sensors (accelerometers, gyroscopes) to detect motions such as shaking or bumping, which automatically trigger relationship formation requests without requiring users to manually input information or send messages through a server.
Solution Approach 2:
The system enables self-service relationship formation where the mobile terminals autonomously detect user intentions through motions, generate requests automatically, and initiate connection processes without requiring active user intervention in the form of typing, copying, or sending messages.
2Extent of automation
If location information is used to identify mobile terminals, then relationship formation can be automated, but inaccurate location data reduces identification reliability
Solution Approach 1:
The patent combines multiple identification parameters including location information, time information (local time and arrival time), and motion detection data. By merging these diverse data sources, the system compensates for inaccuracies in any single parameter and achieves more reliable terminal identification through cross-validation of multiple signals.
Solution Approach 2:
The system employs a multi-functional identification mechanism that can operate using different parameter combinations depending on availability and accuracy conditions. The identification process can utilize location data when available, fall back to time-based identification when location is inaccurate, and combine both approaches when possible, ensuring robust operation across various scenarios.
3Measurement precision
If the system waits for user requests to form relationships, then accuracy can be maintained, but user waiting time increases
Solution Approach 1:
The system performs preliminary actions by continuously monitoring mobile terminals for motion signals and pre-processing location and time data before actual relationship formation requests are needed. This allows the system to be ready to immediately match and form relationships when appropriate conditions arise, reducing user waiting time while maintaining precision through pre-validated data.
Solution Approach 2:
The system maintains continuous operation by constantly monitoring for motion signals, updating location and time information, and maintaining readiness to form relationships. This continuous useful action eliminates idle waiting periods and ensures that when users perform the required motions, relationship formation can occur immediately without unnecessary delays.
Data Source
AI summary
A social network service providing system and method for setting a relationship between users based on a motion of a mobile terminal, and information about time. The social network service providing system may include a request receiver to receive, from a mobile terminal, a request generated in accordance with a motion of the mobile terminal, an information providing unit to provide location information of the mobile terminal, and information about at least one of a local time when the request is transmitted by the mobile terminal, and an arrival time when the request is received, a mobile terminal identifying unit to identify at least one other mobile terminal based on the location information and the information about the at least one of the local time and the arrival time, and a user information providing unit to provide information about a user of the at least one other mobile terminal.