Media Guidance App Condensing Feedback System
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Solution Overview
Problem
Conventional media guidance systems do not provide users with feedback on whether a customized media asset, such as a condensed version of a movie or TV show, includes all desired plot points or content types, and lack the ability to set criteria for content inclusion or exclusion based on user preferences.
Innovation Solution
A media guidance application that allows users to customize media assets by condensing them to fit specific content types, such as plot points, actor appearances, or comedy content, and provides feedback through alerts and ratings on whether desired parts are included or omitted, ensuring the customized version meets user preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If a media asset is condensed to reduce time duration, then viewing efficiency is improved, but completeness of desired content (plot points, actor appearances, etc.) deteriorates
Solution Approach 1:
The system provides feedback to the user by alerting when desired content is omitted from the condensed media asset. This feedback loop allows users to adjust their condensation preferences to achieve the desired balance between time reduction and content completeness.
Solution Approach 2:
The system performs preliminary analysis of the media asset to identify and tag desired content (plot points, actor appearances, comedy scenes, etc.) before condensation. This allows the system to proactively ensure that condensed versions retain important content based on user-specified criteria.
2Loss of time
If conventional condensation methods are used, then time duration is reduced, but user ability to set content criteria deteriorates
Solution Approach 1:
The system dynamically adapts the condensation process based on user-specified criteria. Users can set flexible parameters such as desired time duration, content types to preserve (comedy, drama, action), specific actors to include, and minimum plot point requirements. The system adjusts the condensation algorithm in real-time to satisfy these dynamic constraints.
Solution Approach 2:
The system changes multiple parameters simultaneously to achieve customized condensation: time duration, content type distribution, specific scene inclusion/exclusion, and quality thresholds. This multi-parameter approach enables versatile customization while maintaining time reduction benefits.
3Reliability
If feedback mechanisms are added to conventional systems, then user satisfaction is improved, but system complexity increases
Solution Approach 1:
The system implements feedback by alerting users when condensed media assets omit desired content. This relatively simple feedback mechanism (comparing the condensed output against the original tagged content) provides significant user satisfaction improvement without requiring complex additional infrastructure.
Solution Approach 2:
The system performs self-service by automatically analyzing the media asset, tagging desired content, generating condensed versions, and comparing results against user criteria. This automation reduces the need for manual intervention and complex user-facing controls, achieving high reliability with moderate system complexity.
Data Source
AI summary
Methods and systems are provided herein for a media guidance application that customizes media assets. In particular, the media guidance application may customize the media asset by condensing the media asset. The media guidance application may determine whether or not the condensed media asset omitted any desired parts of the media asset (e.g., one or more plot points of a movie; one or more parts of a movie featuring a specific actor or actress; one or more parts of a television show featuring comedy content), and alert the user about whether or not a desired part is omitted from the condensed media asset.