Automated Personal Information Disclosure System
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Solution Overview
Problem
Current social networking and messaging applications fail to emulate real-world interactions, leading to low emotional connectedness among users, as they lack granular control over personal information disclosure and do not facilitate the discovery of similarities between users or social attraction.
Innovation Solution
The system allows for automated disclosure of personal information based on customizable rules and filters, enabling users to progressively share information with others based on conditions such as timing, similarities, and interactions, thereby facilitating efficient and safe online or offline relationship establishment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If users disclose all personal information upfront as required by current applications, then information exchange is achieved, but user safety and control are compromised
Solution Approach 1:
The patent segments personal information into multiple categories and levels of disclosure. Users can control what information is shared with whom and when, rather than disclosing all information upfront or remaining completely anonymous. This segmentation allows progressive disclosure based on trust levels and interaction context.
Solution Approach 2:
The patent implements dynamic information disclosure where the level and type of personal information shared changes based on the interaction context, trust level, and user preferences. The system adapts disclosure automatically or allows manual adjustment, enabling users to maintain control while achieving information exchange.
2Reliability
If users remain entirely anonymous in current applications, then user safety is maintained, but emotional connectedness and relationship building are reduced
Solution Approach 1:
The patent enables dynamic transitions from anonymous to identified interactions. Users can start conversations anonymously and progressively reveal personal information as trust builds, or vice versa. This dynamic approach allows emotional connectedness to develop while maintaining user control over safety.
Solution Approach 2:
The patent allows users to pre-configure disclosure preferences and conditions before interactions begin. Users can set up rules for automatic disclosure based on interaction context, enabling safe anonymous interactions that can naturally progress to more personal exchanges without requiring upfront information disclosure.
3Loss of information
If users manually check and respond to multiple messages in current applications, then communication occurs, but time and energy are significantly consumed
Solution Approach 1:
The patent implements automated information disclosure systems that operate without requiring constant manual user intervention. The system can automatically share information based on pre-configured rules, interaction context, and user preferences, reducing the time and energy users spend on manual message management while maintaining effective communication.
Solution Approach 2:
The patent incorporates feedback mechanisms that allow the system to learn from user interactions and automatically adjust information disclosure patterns. This feedback loop enables the system to anticipate user needs and automate appropriate disclosures, reducing manual effort while maintaining effective information exchange.
4Loss of information
If current applications require upfront disclosure of all specified personal information, then information exchange is achieved, but user control and comfort are compromised
Solution Approach 1:
The patent segments personal information into controllable categories and implements granular user control over disclosure. Users can selectively share different types of information with different users or user groups, and can adjust disclosure levels at any time, maintaining ease of operation while achieving effective information exchange.
5Ease of operation
If current applications do not facilitate discovery of similarities between users, then user privacy is protected, but relationship building and social attraction are hindered
Solution Approach 1:
The patent implements local quality by selectively disclosing specific types of information (such as interests, activities, or demographic characteristics) that reveal user similarities without requiring comprehensive personal information disclosure. This allows relationship building based on shared characteristics while maintaining user privacy and control.
Data Source
AI summary
A system and method for sharing personal information is described, wherein a server may receive and classify user information from a user. The server may further track user interactions between the user and one or more other users. The server may share certain user information classified as disclosure information with the one or more other users upon determining that a disclosure condition has been met. The server may also transmit one or more notifications relating to such disclosure.