Metadata-Based Usage Information Sharing Across Home Networks
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Solution Overview
Problem
Current methods for sharing experiences and feelings in digital environments are limited, as users seek new ways to interact and connect beyond conventional media sharing, particularly in home networks where geographical and temporal distances exist.
Innovation Solution
A method and apparatus that convert human behavior data from digital devices in a home network into metadata, allowing real-time sharing and recreation of usage patterns across different home networks, enabling dynamic sharing of experiences and feelings through metadata transmission and operation performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional media sharing methods are used, then sharing of experiences and feelings is limited to static content, but users desire dynamic and real-time sharing of their daily lives and behaviors
Solution Approach 1:
The patent creates virtual copies of usage information by converting actual device usage data into metadata that can be transmitted and reconstructed in remote home networks. This allows users to share their daily life experiences dynamically without transmitting the actual large-volume raw data, thus enabling versatile sharing while preserving the essential usage information patterns.
Solution Approach 2:
The patent introduces metadata as an intermediary representation of usage information. Instead of directly sharing raw usage data or requiring direct connection between users, the system uses standardized metadata as a mediator that captures essential usage patterns and transmits them across home networks, enabling real-time sharing while maintaining information fidelity.
2Adaptability or versatility
If detailed usage information is transmitted across home networks, then experience sharing is enhanced, but network traffic and data transmission complexity increase
Solution Approach 1:
The patent creates simplified virtual copies of usage information through metadata generation. Instead of transmitting complete raw usage data sets, the system extracts essential patterns and behaviors into compact metadata representations, enabling rich experience sharing with reduced transmission complexity and standardized processing across different home networks.
Solution Approach 2:
The patent transforms detailed usage information into standardized metadata by changing the parameter representation format. This conversion process abstracts complex usage patterns into essential parameters that can be efficiently transmitted and processed, enhancing experience sharing while reducing the complexity burden on network infrastructure and devices.
3Measurement precision
If real-time monitoring of user behavior is implemented, then usage information accuracy is improved, but user privacy concerns and monitoring overhead increase
Solution Approach 1:
The patent creates anonymized virtual copies of usage behavior through metadata generation. Instead of continuously monitoring and storing detailed personal behavior data, the system extracts essential usage patterns into metadata that preserves accuracy for experience sharing while reducing privacy risks and monitoring overhead by focusing only on essential behavioral parameters.
Solution Approach 2:
The patent extracts only the essential elements of usage information needed for experience sharing. By selectively taking out only the critical behavioral parameters and converting them into metadata, the system achieves accurate usage information capture without the complexity and privacy concerns associated with comprehensive continuous monitoring of all user activities.
Data Source
AI summary
Provided are a method, apparatus, and system for sharing usage information of daily life. Usage information sharing system includes: a first home network including at least one electronic device generating metadata with respect to human behavior; a first collecting device collecting metadata with respect to usage information from first home network; a second collecting device transmitting metadata of first home network that is received from the first collecting device to a second home network; and a second home network comprising at least one electronic device receiving the metadata from the second collecting device and performing an operation corresponding to the metadata. Accordingly, behavioral actions of a person in daily life can be dynamically recognized via a home network and home electronic devices and converted into metadata, and transmitted to another home network in real-time via a network. Thus, the experiences and feelings of a user can be dynamically shared.