Content Consumption Hub for Cross-Device Information Exchange
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Solution Overview
Problem
Existing systems lack an efficient method to facilitate the exchange of content consumption-related information across various devices within and between content information networks, particularly in a mobile-centric world where diverse content types are consumed on different devices.
Innovation Solution
A system architecture that includes content consumption devices, content consumption hubs, and content information hubs, enabling the communication and coordination of content consumption event information, as well as the dissemination of related content information across networks using virtual mesh networks and intermediary devices, allowing for dynamic data routing and user-controlled information sharing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If content consumption information is exchanged across multiple devices and networks, then user experience and content discovery are improved, but system complexity and data management requirements increase
Solution Approach 1:
The patent introduces content information networks and intermediary devices that act as mediators between content consumption devices. These intermediaries collect, aggregate, and manage consumption information centrally, reducing the complexity that would otherwise exist across the entire distributed system. The intermediary layer handles data normalization, routing, and coordination, allowing individual devices to remain relatively simple while achieving complex cross-device information exchange.
Solution Approach 2:
The system architecture is segmented into distinct functional layers: content consumption devices, content information networks, and intermediary devices. This segmentation allows each component to be optimized independently - devices focus on consumption, networks on information aggregation, and intermediaries on data management. The modular structure reduces overall system complexity by distributing functions across separate, specialized components rather than requiring all devices to handle all functions.
2Loss of information
If consumption event information is collected from multiple devices, then content recommendations and shared experiences are enhanced, but data privacy and user control requirements increase
Solution Approach 1:
The patent implements user-controlled privacy settings that allow different levels of information sharing for different users and different types of content. Each user can specify which consumption events are shared, with whom, and under what conditions. This local quality approach means that data collection and sharing are not uniform across all users but are customized according to individual preferences, thereby protecting privacy while still enabling comprehensive data collection where permitted.
Solution Approach 2:
The system provides feedback mechanisms to users about what data is being collected, how it is being used, and who has access to it. Users can adjust their privacy settings based on this feedback, creating a dynamic control system that balances data completeness with user privacy concerns. The feedback loop allows users to maintain control over their information while still benefiting from the enhanced content recommendations that result from data aggregation.
3Productivity
If real-time content consumption data is shared across networks, then social viewing and collaborative experiences are improved, but network bandwidth and processing requirements increase
Solution Approach 1:
Instead of continuous real-time data transmission, the system implements periodic updates and event-driven communication. Consumption information is shared at meaningful intervals or triggered by significant events (e.g., completing a chapter, reaching a milestone), rather than continuously streaming all data. This periodic action reduces network bandwidth consumption and processing requirements while still enabling timely social viewing and collaborative experiences.
Solution Approach 2:
The system transmits only the essential consumption information needed for social viewing and recommendation purposes, rather than all possible data. This partial action approach focuses on key events and metrics that drive user engagement while filtering out redundant or less important data, thereby reducing network resource consumption while maintaining the core functionality of shared consumption experiences.
Data Source
AI summary
Content information networks may be provided that may each include a plurality of content consumption devices. One or more of the content consumption devices within a content information network may be capable of serving as a content consumption hub device that coordinates the receipt and dissemination of content consumption event information pertaining to content consumption events from and to various content consumption devices within the content information network. The content consumption hub device may further communicate, to various content consumption devices within its network, content-related information relating to content consumed on content consumption devices within its network and/or devices outside of its network. The content consumption hub device may be configured to receive content-related information from one or more content information hubs. The content consumption hub device may also receive content consumption event information from a content consumption platform.