Adaptive Content Composites for Geolocation-Aware Event Delivery
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Solution Overview
Problem
Users face difficulties in efficiently locating and interacting with optimal content features for televised and streamed events due to system performance deficiencies and time-consuming search processes.
Innovation Solution
A system and method for adaptive content composite generation and control, utilizing adaptable content objects and content composites that are generated based on observation data and geolocation-specific rules, allowing for dynamic content presentation and interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional content delivery systems are used, then system simplicity is maintained, but viewer experience and content interaction efficiency deteriorate
Solution Approach 1:
The system segments content into modular components (adaptable content objects) that can be independently processed, delivered, and reassembled. This allows the complex adaptive functionality to be distributed across multiple components rather than requiring a monolithic complex system, improving ease of operation while managing complexity through modular architecture.
Solution Approach 2:
The system implements dynamic content composites that adapt in real-time based on observer data, device characteristics, and context. This dynamic adaptation improves content interaction efficiency by delivering personalized content without requiring manual configuration, as the system automatically adjusts content delivery parameters based on observed viewer behavior and device capabilities.
2Productivity
If manual content search and selection processes are used, then system simplicity is maintained, but time consumption and effort increase
Solution Approach 1:
The system performs preliminary actions by pre-processing content into adaptable content objects and pre-establishing delivery rules based on observer data. This allows content to be ready for immediate personalized delivery without requiring manual search or selection at the moment of consumption, significantly reducing content search time while improving delivery efficiency through automated preparation.
Solution Approach 2:
The system implements feedback mechanisms that collect observer data about viewer behavior, device characteristics, and content interaction patterns. This feedback is continuously processed to refine content composite generation and delivery parameters, creating a self-improving system that reduces content search time over time while increasing productivity through learned optimization.
3Adaptability or versatility
If generic content delivery is used, then system simplicity is maintained, but adaptability to user preferences and location deteriorates
Solution Approach 1:
The system applies local quality by tailoring content composites to specific local contexts including device characteristics, observer data patterns, and geographic location. Each content composite is customized with local relevance rather than applying uniform generic delivery, enabling high adaptability to user preferences and location while managing complexity through context-specific parameter adjustment rather than complete content redesign.
Solution Approach 2:
The system achieves adaptability through parameter changes in content composite generation, adjusting delivery parameters such as content format, timing, and composition based on observer data and device characteristics. This allows the system to maintain a relatively simple core architecture while achieving high adaptability through dynamic parameter modification rather than fundamental structural changes.
Data Source
AI summary
Systems, methods, and machine-readable media to facilitate adaptive content composite generation with respect to digitally distributed content are disclosed. Observation data corresponding to detected media device operations associated with media devices in a particular geolocation may be processed and mapped to events. An identifier of a particular event may be selected based on the observation data, and a content composite corresponding to the particular event may be created. An adaptable content object may be identified based on the observation data and may be configured with a content object. The content composite may be output for presentation so that the endpoint media device performs operations relating to the content composite. Signals corresponding to the operations triggered by the content composite and indicative interface options may be processed.