Mobile Device Communication Matching With Mutual-Consent Disclosure
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Solution Overview
Problem
Existing location-based social networking platforms fail to provide flexible and efficient privacy and security for mobile device users, often requiring manual configuration and failing to protect the privacy of both parties in dynamic social situations, and do not account for secondary contacts or mutual interest in communication.
Innovation Solution
A system and method that uses a collaboration system to automatically detect and match mobile devices based on shared vicinity and profile data, allowing users to opt-in to reveal identities and locations only when both parties agree, preserving anonymity until mutual consent is given, and providing tiered profile disclosure based on user settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If location-based social networking platforms manually configure privacy settings, then user privacy control is provided, but the system complexity increases and ease of operation decreases
Solution Approach 1:
The system automatically detects mutual interest between users based on their profiles and locations without requiring manual privacy configuration. Users simply register their profiles and the system handles the matching and privacy protection automatically, eliminating the need for complex manual settings while maintaining reliable privacy protection through automated mutual consent verification.
2Productivity
If traditional platforms reveal user identities immediately, then communication efficiency improves, but user privacy and security deteriorate
Solution Approach 1:
The system performs preliminary matching based on profiles and locations before revealing identities. Users are pre-screened for mutual interest and compatibility, so when identities are revealed, both parties have already expressed implicit consent through their profile configurations, maintaining privacy while enabling efficient communication among compatible users.
Solution Approach 2:
The system acts as an intermediary that mediates between privacy protection and communication efficiency. It maintains anonymous matching initially, then facilitates controlled identity revelation only when mutual interest is detected, serving as a buffer that protects user privacy while enabling efficient communication through automated filtering and matching.
3Reliability
If platforms protect both parties' privacy through anonymity, then user privacy improves, but the ability to establish communication deteriorates
Solution Approach 1:
The system uses feedback from user profiles and location data to determine mutual interest. When both users' profiles indicate compatibility and mutual interest, the system provides feedback by revealing identities and enabling communication. This automated feedback loop maintains privacy while facilitating communication establishment based on demonstrated mutual interest rather than requiring manual initiation.
Data Source
AI summary
Provided are systems and methods for establishing a communication between mobile device users that register with a collaboration system. The collaboration system determines a match between profile data of the first registered mobile device and profile data of the second registered mobile device. Displayed at the first registered mobile device is a first list of user identifications, which includes an identification of a user of the second registered mobile device and an identification of a user of at least one other mobile device. Displayed at the second registered mobile device is a second list of user identifications. The second list includes an identification of a user of the first registered mobile device and an identification of at least one other mobile device user.