Media Guidance Application Absence Detection Playback Control
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Solution Overview
Problem
Users often forget to pause or rewind media content when leaving a device due to momentary distractions, leading to missed portions, and existing solutions lack automatic and context-aware playback management.
Innovation Solution
A media guidance application that automatically determines the need for playback operations based on the duration of absence from the viewing area, using a detection module to monitor user presence and initiate timers to compute absence time, and selects appropriate playback actions such as rewinding or recording based on predefined thresholds and user preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the system automatically performs playback operations based on user absence detection, then the viewing experience is enhanced and content is preserved, but the device complexity increases due to integration of detection modules and automated control logic
Solution Approach 1:
The patent combines multiple functions into a single integrated system: the detection module that monitors user presence, the timer that tracks absence duration, and the playback control that executes automated actions are merged into one cohesive system. This integration allows the media player to automatically detect when a user has left the viewing area and perform appropriate playback operations (pause, rewind, or record) without requiring separate devices or manual intervention, thereby enhancing reliability while managing complexity through functional consolidation.
2Measurement precision
If the system monitors user presence continuously to detect absence, then automated playback control accuracy is improved, but the energy consumption increases due to continuous detection operations
Solution Approach 1:
The detection module operates periodically rather than continuously, checking for user presence at regular intervals. The system initiates a timer when absence is detected and continues periodic monitoring to detect when the user returns. This periodic operation maintains adequate detection accuracy for determining whether the user has left the viewing area while significantly reducing energy consumption compared to continuous monitoring, as the sensor and processing are activated only when needed.
Data Source
AI summary
Methods and systems are discussed herein for a media guidance application that automatically determines (e.g., without querying a user) whether or not to perform a playback operation (e.g., rewinding, returning to a previous chapter, continuing to play, etc.) on a media asset based on the amount of content that was missed by a user. For example, if a user missed only a small portion of content (e.g., was outside of a viewing area of the media asset for a short period of time), the media guidance application may determine that the media asset does not need to be rewound. However, if a user missed a large portion of content (e.g., was outside of a viewing area of the media asset for an extended period of time), the media guidance application may determine that the media asset does need to be rewound.


