Media Guidance for Automatic Return to Related Secondary Content
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Solution Overview
Problem
Existing media guidance systems fail to consider that users may miss preferred secondary content during breaks in primary content, as they always navigate users away, disregarding the potential enjoyment of such content.
Innovation Solution
A media guidance application determines user engagement with primary content, monitors secondary content during breaks, identifies related content, and automatically switches back to the primary channel to ensure the user views relevant secondary content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the system navigates the user away from secondary content during breaks, then the user is directed to potentially preferred primary content, but the user may miss secondary content that they would have enjoyed
Solution Approach 1:
The system monitors user viewing behavior during breaks (when users typically switch channels) and uses this feedback to determine whether to automatically switch back. By detecting that the user returned to the original channel after a break, the system infers interest in the secondary content and activates automatic switching to prevent future missed content
Solution Approach 2:
The system performs preliminary monitoring of user behavior during breaks before implementing the automatic switching feature. By observing patterns of user engagement with secondary content during break periods, the system prepares to proactively switch channels back to prevent users from missing important secondary content in future breaks
2Reliability
If the system automatically switches back to the primary channel during breaks, then the user views relevant secondary content, but the system complexity increases
Solution Approach 1:
The system uses the user's own viewing behavior patterns as the triggering mechanism for automatic switching. Rather than requiring complex user profiles, preferences, or manual configuration, the system automatically learns from and responds to the user's natural channel-switching behavior during breaks, making the complexity inherent in the behavior itself rather than in additional system components
Data Source
AI summary
Systems and methods are described herein for a media guidance application to determine that a user has switched away from a source transmitting a media asset with which the user was engaged and detect, while the user is switched away from the source, that secondary content transmitted by the source during a break of playback of the media asset relates to the media asset. In response to detecting that the secondary content relates to the media asset, the media guidance application may access a database to determine whether the secondary content specifically corresponds to the media asset, and, in response to determining that the secondary content specifically corresponds to the media asset, the media guidance application may generate for display the secondary content to the user.