Context-Aware Feedback Suggestions During Content Viewing
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Solution Overview
Problem
Existing solutions do not provide contextually relevant information options for viewers to share feedback while viewing content items.
Innovation Solution
A computing device analyzes a portion of a content item using audio, visual, and textual analysis modules to determine contextual information and suggests contextually relevant feedback options, such as emojis or messages, which can be selected and stored as metadata for future suggestions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If contextually relevant information suggestions are provided to users during content viewing, then user engagement and interaction are enhanced, but device complexity and processing requirements increase
Solution Approach 1:
The system segments the content item into distinct portions (e.g., scenes, segments, or time-based divisions) and analyzes each portion separately to generate contextually relevant suggestions. This allows the complex analysis to be distributed across multiple smaller units rather than processing the entire content at once, reducing the burden on any single processing instance.
Solution Approach 2:
The patent introduces intermediary components including a server that acts as a mediator between the content source and the user device, and contextual modules that serve as intermediaries between the content analysis and the suggestion generation. These intermediaries handle the complex processing tasks, allowing the user device to maintain simpler architecture while still providing enhanced engagement features.
2Measurement precision
If multiple contextual modules perform comprehensive analysis of content portions, then contextual accuracy of suggestions improves, but processing time and computational resources increase
Solution Approach 1:
The system performs preliminary analysis of content portions using contextual modules before generating suggestions. By pre-processing and pre-analyzing the content segments, the system prepares contextual information in advance, which can then be quickly matched with user viewing context to generate accurate suggestions without requiring extensive real-time computation.
Solution Approach 2:
The patent applies partial analysis by focusing contextual modules on specific aspects of content portions that are most relevant to generating suggestions, rather than performing exhaustive analysis of all content attributes. This selective approach maintains contextual accuracy for the most important features while reducing overall processing time and computational resources required.
Data Source
AI summary
Provided herein are methods and systems for enabling users to provide contextually relevant information, such as feedback, relating to a content item. A computing device may receive a request for a content item. The computing device may receive the request and analyze a first portion of the content item to determine contextual information associated with the first portion. The computing device may determine one or more suggestions for contextually relevant items, such as symbols, to enable use of the symbols to provide information. The computing device may send the one or more suggestions with the first portion of the content item.