AI and Blockchain Messaging Systems for Progressive Profile Unobscuring
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Solution Overview
Problem
Existing social networking and messaging services face challenges in enhancing user experience and satisfaction, particularly in large online communities where users may experience choice paralysis and message overload without effective reward systems or meaningful evaluation of user profiles.
Innovation Solution
The integration of AI and blockchain technologies into end-to-end messaging systems to manage and reveal user information based on interaction, including AI-powered image recognition for obscuring and unobscuring sensitive content, natural language processing for message enhancement, and blockchain for secure and transparent communication history.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If user profiles are fully visible from the beginning, then users can make informed decisions about whom to message, but users experience choice paralysis and message overload
Solution Approach 1:
The patent segments user profile information into multiple levels of visibility. Basic profile information is visible initially, while sensitive information (full photos, personal details) is obscured and revealed progressively through interactions such as messaging exchanges. This segmentation allows users to make initial decisions based on available information without being overwhelmed by all details at once.
Solution Approach 2:
The system performs preliminary actions by pre-obscuring sensitive profile information before users view it. The obscuring is done in advance, and the revelation of additional information is triggered by specific actions (sending/receiving messages). This preliminary obscuring action prevents choice paralysis while maintaining the ability to reveal information when appropriate.
2Loss of information
If all user information is revealed immediately, then users can evaluate profiles meaningfully, but users become overloaded with too much information to process
Solution Approach 1:
The patent implements dynamic information revelation where the amount of visible profile information changes based on interaction state. Initially, only basic information is visible; as users exchange messages, additional information is progressively revealed. This dynamic approach allows meaningful evaluation over time without presenting all information at once, reducing cognitive overload.
Solution Approach 2:
The system uses periodic revelation of information tied to message exchange milestones. Each messaging interaction triggers a periodic update in information visibility, allowing users to evaluate profiles incrementally rather than all at once. This periodic revelation reduces time pressure while maintaining meaningful evaluation opportunities.
3Adaptability or versatility
If messaging systems provide unlimited communication freedom, then users can interact naturally, but systems lack security and transparency in communication history
Solution Approach 1:
The patent implements feedback mechanisms where the system automatically monitors and records messaging interactions. Communication history is tracked and stored, providing transparency while maintaining user freedom. The feedback loop ensures that messaging flexibility is preserved while security and transparency requirements are met through automated recording and verification.
Solution Approach 2:
The system introduces an intermediary layer that mediates between user communication freedom and security requirements. This intermediary automatically manages information revelation, records communications, and enforces privacy rules without restricting natural user interaction. The intermediary maintains both messaging flexibility and communication security simultaneously.
Data Source
AI summary
An end-to-end messaging including AI and blockchain enhancements to enhance user experience while engaged in networking and matchmaking. Progressive AI-based unobscuring techniques can be applied to an image to predict and selectively unobscure parts of the image in response to the progressive exchange of user messages. A user's images and information can be fully unobscured in response to additional message exchanges between users. A cryptographic hash of the image can be generated and recorded on a blockchain ledger to establish an immutable record of the submitted image. Message exchanges and related metadata can be recorded on the blockchain, establishing a transparent and traceable communication history. Natural language processing algorithms can translate, enhance grammar, and adjust sentiment of messages, or suggest any of these, before they are provided from one user to another user.