Content Utilization Parametrization via Segmentation and Feedback
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Solution Overview
Problem
Current systems lack effective methods to measure and improve content usefulness from both the consumer's and content owner's perspectives, particularly in understanding viewer reactions to presentations, which hinders personalized content optimization and engagement analysis.
Innovation Solution
A system comprising a content server, segmentation server, and utilization parameterization server that segments content, collects viewer feedback through a feedback mechanism, and generates reports to help content creators understand viewer engagement and preferences, allowing for targeted content modifications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a system collects detailed viewer feedback during content consumption, then content usefulness measurement improves, but system complexity increases
Solution Approach 1:
The patent segments content into discrete units (e.g., video clips, articles, ads) and collects feedback at specific intervals during consumption. This segmentation allows the system to measure content usefulness at granular levels without requiring a monolithic complex system, as each segment can be independently tracked and evaluated.
Solution Approach 2:
The system implements continuous feedback collection mechanisms that automatically capture viewer reactions (e.g., likes, dislikes, time spent, scrolling behavior) during content consumption. This automated feedback loop improves measurement precision without proportionally increasing system complexity, as the feedback is collected passively through existing interaction points rather than requiring active complex measurement infrastructure.
2Productivity
If the system tracks viewer actions and reactions in real-time, then engagement analysis improves, but data processing requirements increase
Solution Approach 1:
The patent establishes predefined feedback collection points and measurement parameters before content consumption begins. By determining in advance what metrics to track (e.g., completion rate, pause points, click-through rates) and where to collect feedback, the system reduces the complexity of real-time data processing while maintaining comprehensive engagement analysis capabilities.
3Measurement precision
If content is segmented into discrete units for feedback collection, then feedback precision improves, but content structure complexity increases
Solution Approach 1:
The patent divides content into natural segments (e.g., video scenes, article sections, ad units) that align with meaningful consumption boundaries. This segmentation enables precise feedback collection at relevant points without creating artificial complexity, as the segments correspond to inherent content structure rather than imposed divisions.
Data Source
AI summary
Feedback regarding a presentation may be received from viewers who have viewed the presentation. In some instances, the presentation may be segmented into a plurality of segments and one or more discrete segments included in the plurality may be divided into a plurality of sub-segments. The presentation may be provided to the plurality of viewers and feedback regarding a discrete sub-segment of the plurality of sub-segments may be received from each of the plurality of viewers via the feedback mechanism. A report based on the received feedback information may then be generated.