Automatic Media Recording from User Interest While Away
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Solution Overview
Problem
Consumers often miss recording media content when they are away from home due to the inability to manually schedule recordings from remote devices, leading to missed opportunities.
Innovation Solution
A media guidance application automatically records media assets based on user interest expressed through activities like reminders, watch lists, and social media posts, switching functions from alerts to recordings when the user is away and reverting back if they return before the recording starts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual recording scheduling is required, then user control over recording is maintained, but users miss recordings when away from home
Solution Approach 1:
The system automatically performs recording scheduling without requiring user intervention. When the user is detected to be away from home, the media guidance application autonomously schedules recordings of media assets based on stored user interest data, eliminating the need for the user to manually schedule recordings while away.
Solution Approach 2:
The system pre-schedules recordings in advance based on detected user interest and absence conditions. The media guidance application proactively creates recording schedules before the user needs to access content, using stored preferences and current media information to prepare recording tasks ahead of time.
2Reliability
If automatic recording is implemented, then users don't miss content when away, but system complexity increases
Solution Approach 1:
The media guidance application integrates multiple functions into a single system component. It combines user presence detection, media information retrieval, interest analysis, and recording scheduling into one unified application that runs on the set-top box, reducing the need for separate complex systems.
Solution Approach 2:
The system uses a database as an intermediary to store and manage user interest data, media information, and recording schedules. This database layer simplifies the complexity by providing a centralized structure for storing and retrieving information needed for automatic recording decisions.
3Measurement precision
If user interest is inferred from multiple sources, then recording accuracy improves, but information processing complexity increases
Solution Approach 1:
The system merges multiple data sources including social media posts, watch lists, favorites lists, and reminder notifications into a unified interest database. This consolidation allows the media guidance application to aggregate and analyze user interest from various sources in a single structured location.
Solution Approach 2:
The system transforms different types of user interactions (social media posts, list additions, reminder settings) into a standardized parameter format stored in the database. This parameter standardization enables consistent analysis and processing of user interest regardless of the original source format.
Data Source
AI summary
Systems and methods for automatically recording media assets not explicitly scheduled for recording by a user when the user leaves his or her home. For example, when the user leaves home, a media guidance application, being executed on a user equipment device (such as a set-top box), schedules to record media assets that the user has expressed interest in, but has not explicitly scheduled for recording. If the user returns home before a recording has begun, the media guidance application does not record the media assets the user has not explicitly scheduled for recording.