Streaming Content Modification via User Entanglement
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Solution Overview
Problem
Users at events, both local and remote, have limited control over the broadcast coverage of events, leading to a disconnect between their interests and the streamed content, as broadcast media often focus on main events while side or unexpected occurrences may trend on social media without being covered.
Innovation Solution
A method that analyzes focus data from both local and remote users to determine shifts in attention, computing a beacon density that combines physical and virtual beacons, and instructs streaming sources to change the content to reflect the area of focus when a threshold density is met, thereby enhancing the experience by entangling local and remote user interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If broadcast media focuses on main events at main courts, then the broadcast coverage is stable and predictable, but side events or unexpected occurrences are not covered
Solution Approach 1:
The system implements feedback by continuously monitoring social media platforms for trending topics related to event locations. When side events gain traction on social media, this feedback triggers automatic adjustments to broadcast coverage, allowing the system to adapt to emerging interests while maintaining overall broadcast stability
Solution Approach 2:
The broadcast coverage transitions from a static, pre-planned schedule to a dynamic system that can shift focus in real-time. The system dynamically adjusts which locations are covered based on real-time social media trends and user engagement, enabling both main events and unexpected side events to receive appropriate coverage
2Reliability
If users have no control over broadcast coverage selection, then the broadcasting entity can maintain consistent coverage decisions, but users cannot follow their areas of interest
Solution Approach 1:
The system enables users to self-select their areas of interest by automatically detecting which event locations they are following through social media engagement and device location data. Users effectively control their own content experience without needing to manually select coverage options, as the system adapts to their implicit preferences
Solution Approach 2:
The system changes the parameter of user control from explicit selection to implicit detection through behavioral data. By analyzing social media interactions and device location, the system infers user interests and adjusts coverage parameters automatically, giving users indirect control while maintaining broadcast consistency
3Adaptability or versatility
If multiple camera angles and locations are monitored in real-time, then the system can capture all significant events, but the system complexity and processing requirements increase
Solution Approach 1:
The system introduces social media platforms as intermediaries that already perform the complex task of aggregating and analyzing information from multiple event locations. Instead of building complex monitoring systems, the patent leverages existing social media infrastructure to identify trending locations, simplifying the broadcast system's architecture while maintaining comprehensive coverage capability
Data Source
AI summary
Focus data of a remote user is analyzed to determine a focus shift from a first area to a second area at an event arena. A beacon density is computed at the second area, where the beacon density includes a number of physical beacons corresponding to a number of local users at the second area, a number of virtual beacons corresponding to a number of remote users focused on the second area, or a combination of thereof. When the beacon density at the second area exceeds a threshold density, an instruction to a streaming source is generated. The streaming source is caused to change a streaming content, to form changed streaming content that is related to the second area.