Social Platform Proximity Matching via Status Modes
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Solution Overview
Problem
Current social networking applications fail to effectively facilitate communication and ice-breaking between users who are not acquainted, often leading to missed opportunities due to shyness or difficulty in approaching others, especially in electronic communication environments.
Innovation Solution
A platform and method that allows users to register profiles, select status modes for interaction levels, choose interaction criteria, and initiate communication through virtual reality and fantasy scenarios, with features like secret admirer modes and customizable Medoji/Fantoji interactions, enabling users to establish connections based on interests like romance or friendship.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users directly initiate communication with strangers on social networking platforms, then communication can be established, but users experience shyness and difficulty in approaching others leading to missed opportunities
Solution Approach 1:
The system performs preliminary actions by automatically detecting users within proximity and pre-establishing potential connection opportunities before users need to initiate contact. The platform proactively identifies and presents compatible users, eliminating the need for users to actively search or approach strangers, thus resolving the shyness barrier while preventing missed opportunities.
Solution Approach 2:
The platform acts as an intermediary that mediates between users who want to connect but feel shy about direct initiation. The system detects proximity, evaluates compatibility based on user profiles and preferences, and presents pre-filtered potential connections, serving as a buffer that reduces the social pressure of approaching strangers while ensuring genuine communication opportunities are not missed.
2Loss of information
If users provide detailed personal information on profiles, then others can know more about them before interaction, but privacy and safety concerns arise
Solution Approach 1:
The system applies local quality by selectively revealing different levels of personal information based on the interaction stage and user preferences. Sensitive information remains protected while non-sensitive attributes used for matching are made available. The platform dynamically controls information visibility, showing only necessary details for connection purposes while maintaining privacy safeguards.
Solution Approach 2:
The system performs preliminary information sharing through compatibility metrics and interest matching before direct user interaction occurs. Users can evaluate potential connections based on pre-analyzed compatibility data, shared interests, and system-generated matching scores, reducing the need to expose detailed personal information upfront while still enabling informed connection decisions.
3Quantity of substance
If the platform detects and displays all users within range, then more potential connections are available, but information overload and difficulty in selecting interesting users occur
Solution Approach 1:
The system implements feedback mechanisms by analyzing user interaction patterns, preference selections, and engagement behavior to continuously refine and personalize the presentation of potential connections. The platform learns from user responses to compatibility metrics and adjusts the displayed user pool accordingly, providing feedback-driven curation that reduces selection complexity while maintaining access to relevant connections.
Solution Approach 2:
The system changes parameters by dynamically adjusting the presentation of user data based on compatibility algorithms. Instead of displaying raw user lists, the platform transforms data into compatibility scores, matched interest categories, and personalized recommendation rankings. This parameter transformation converts large quantities of user data into manageable, prioritized suggestions that reduce selection complexity.
Data Source
AI summary
The present disclosure relates to a social network application that facilitates breaking the ice between users who are not acquainted from each other before. In one embodiment, the application comprises a non-transitory computer-readable storage medium comprising programmable instructions adapted to be executed on one or more processors, and to perform a method of: enabling each user to select one of multiple status modes at the platform server, where each status mode dictates a certain action or counteraction that can be taken by other user or users, and each status mode allows different level of communication to be established between the users; allowing the first user to send an alert to a second user displayed on a map and/or a list; allowing the second user to change his or her status mode towards the first user based on the alert; and allowing a two-way communication to be established between the first user and the second user.