Auxiliary Content Delivery System With Engagement Feedback
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Solution Overview
Problem
Users are subjected to unwanted auxiliary content on their devices, which can be intrusive and not aligned with their preferences, and there is a need to manage this content effectively to enhance user engagement and content consumption experience.
Innovation Solution
A computer-implemented method and system that detects user engagement with auxiliary content by generating requests for media content, receiving and playing out auxiliary content, displaying user engagement elements, and formulating messages based on user interaction data to control the delivery of auxiliary content, including advertisements, to optimize user experience and content access.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If auxiliary content is delivered to users, then content providers can generate revenue and users may receive free or discounted media content, but users are exposed to unwanted or intrusive content that degrades their viewing experience
Solution Approach 1:
The system implements feedback loops where user interactions with auxiliary content (such as clicking, viewing duration, or explicit preferences) are continuously monitored and fed back to the content delivery system. This enables dynamic adjustment of content delivery strategies to better match user preferences over time, reducing unwanted content exposure while maintaining revenue generation.
Solution Approach 2:
The system changes delivery parameters such as frequency, timing, type, and quantity of auxiliary content based on user profiles, viewing history, and real-time engagement metrics. By dynamically adjusting these parameters, the system optimizes the balance between content delivery effectiveness and user experience quality.
2Productivity
If the frequency and quantity of auxiliary content is increased, then content delivery effectiveness improves, but user engagement deteriorates due to content overload
Solution Approach 1:
The system employs partial action by delivering auxiliary content selectively rather than in excessive quantities. It targets specific users with specific content types based on their profiles and engagement patterns, avoiding content overload while maintaining effective delivery to the right audience.
Solution Approach 2:
The system dynamically adjusts content delivery frequency and quantity based on real-time user engagement metrics. When engagement levels drop, the system reduces content volume; when engagement is high, it may increase delivery. This dynamic adaptation prevents content overload while optimizing delivery effectiveness.
3Adaptability or versatility
If personalized content delivery is implemented, then user experience improves, but system complexity increases due to monitoring and analyzing user engagement
Solution Approach 1:
The system segments users into groups based on their engagement patterns, preferences, and demographics, and segments auxiliary content into different types and categories. This segmentation enables personalized delivery without requiring complex individual analysis of every user, simplifying the overall system architecture while maintaining personalization effectiveness.
Solution Approach 2:
The engagement monitoring system is designed to collect multiple types of data (clicks, views, preferences, demographic information) through a unified multi-functional platform. This universal system handles various personalization requirements simultaneously, reducing overall system complexity compared to implementing separate systems for each function.
Data Source
AI summary
A computer implemented method for detecting user engagement with auxiliary content consumed by a user at a viewing device, the method comprising, at the viewing device generating requests for auxiliary content associated with media content selected by the user to be consumed; receiving auxiliary content from an auxiliary content store and playing out the auxiliary content to the user; displaying at least one user engagement element associated with the auxiliary content, the user engagement element defining an expected user activity; generating user engagement data based on the engagement of a user with the user engagement element in accordance with the expected user activity, and formulating a message to be transmitted to an auxiliary content controller, the messaging including a user identifier and the user engagement data.