User-Centric Interaction Network for Digital Econiche Integration
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Solution Overview
Problem
The proliferation of disparate computing platforms and search engines overwhelms users with fragmented digital identities and excessive information, making it difficult for human operators to access relevant information for interactions within their ecological and information environments.
Innovation Solution
The development of user-centric interaction networks that allow users to create personalized digital econiches, integrating information models of ecosystem components and interactions, enabling tailored access to knowledge and information needed for specific interactions through interconnected and overlapping user digital econiches.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple disparate computing platforms and search engines are used to access information, then information coverage and variety are improved, but user information space fragmentation and digital identity complexity increase
Solution Approach 1:
The patent merges multiple disparate computing platforms and information sources into a unified user-centric information network. This network integrates diverse information environments (social networks, e-commerce platforms, search engines, IoT devices) into a single cohesive system that manages digital identities centrally, eliminating the need for users to maintain separate identities across multiple platforms while preserving access to all information sources.
Solution Approach 2:
The user-centric information network serves as a universal platform that can access and integrate information from various sources including social networks, e-commerce sites, search engines, and IoT devices. This multi-functional system handles diverse information types and interaction modes through a single interface, providing adaptability across different information environments without requiring separate specialized platforms.
2Quantity of substance
If multiple search engines and platforms are deployed to provide comprehensive information, then information availability is improved, but information overload and user selection difficulty increase
Solution Approach 1:
The system applies local quality by customizing information presentation according to each user's specific needs, context, and preferences. Rather than providing uniform search results, the user-centric information network dynamically adjusts the quantity, type, and organization of information delivered to each user based on their profile, current task, and historical behavior, ensuring that users receive only the most relevant information from the available pool.
Solution Approach 2:
The system incorporates feedback mechanisms that continuously monitor user interactions with information, refining future information delivery. By analyzing user behavior patterns, selection preferences, and engagement metrics, the network learns to optimize information presentation, reducing overload by prioritizing high-value information and eliminating redundant or low-relevance content from search results.
3Loss of information
If conventional search engines deliver vast amounts of information hits, then search completeness is improved, but user time and cognitive load for information management increase
Solution Approach 1:
The user-centric information network performs preliminary action by pre-processing and organizing information from multiple sources before user requests. The system maintains pre-curated information environments, pre-tags content with metadata, and pre-establishes connections between related information items. When users search, the system leverages this pre-organized structure to rapidly retrieve and present relevant information, eliminating the need for users to manually filter through unprocessed search results.
4Adaptability or versatility
If IoT devices and electronic agents are proliferated to enhance interaction capabilities, then interaction functionality is improved, but the number of interaction platforms and information silos increase
Solution Approach 1:
The user-centric information network acts as an intermediary layer between users and the proliferation of IoT devices and electronic agents. Rather than requiring direct integration with each individual device or agent, the network provides a unified interface that abstracts device-specific protocols and communication methods. This mediator approach allows users to interact with diverse IoT devices and agents through consistent patterns, reducing platform integration complexity while preserving expanded interaction functionality.
Data Source
AI summary
A system comprises one or more computing systems. The computing systems provide access to one or more data stores that store a plurality of data objects and data hypergraphs. The plurality of data objects and data hypergraphs includes a plurality of interconnected and overlapping user digital econiches that each is owned by a respective user. A user digital econiche corresponds to a plurality of components of a respective user ecological and information environment and to associations and interactions among components. A user digital econiche includes a first set of user nodes, a second set of ecosystem entity nodes, a third set of interaction agent nodes, a first set of intra hyperedges, and a second set of inter hyperedges. A hyperedge connects any number of nodes. An intra hyperedge connects nodes accessible by one user only. An inter hyperedge connects at least one node accessible by more than one user.