Adaptive Voice Link Volume for Shared Media Viewing
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Solution Overview
Problem
Current systems for connecting users to share media experiences, such as watching a football game, require manual adjustments to avoid distractions, which is inefficient and disrupts the viewing experience due to lack of automatic volume control based on content and user interactions.
Innovation Solution
A media guidance application that automatically adjusts the volume of voice communications links between users based on the content being watched, using metadata processing and machine learning to determine optimal volume levels, ensuring a smoother viewing experience by minimizing distractions during key events or commercials.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If users manually adjust volume to avoid distractions during media consumption, then viewing experience is maintained, but user convenience deteriorates and operation complexity increases
Solution Approach 1:
The system automatically monitors media content and adjusts voice communication volume without user intervention. The media guidance application detects key events in the media asset and autonomously modulates the volume of voice communications to maintain optimal viewing experience, eliminating the need for manual user adjustments.
Solution Approach 2:
The system continuously monitors media content characteristics and uses this feedback to dynamically adjust voice communication volume. The media guidance application analyzes the media asset in real-time and modifies the volume level of voice communications based on the detected content type and importance, creating a closed-loop control system.
2Reliability
If voice communication volume is kept constant during media consumption, then communication quality is maintained, but distractions increase during key media events
Solution Approach 1:
The system transitions from static volume control to dynamic volume adjustment. The media guidance application continuously adapts the voice communication volume based on real-time analysis of media content, adjusting the volume level according to the importance and type of media events to minimize distractions while maintaining communication quality.
Solution Approach 2:
The system changes the volume parameter of voice communications based on media content characteristics. The media guidance application modifies the volume level parameter dynamically, lowering it during key media events and raising it during less important segments, thereby reducing distractions while preserving communication effectiveness.
3Ease of operation
If automatic volume control is implemented, then user convenience is improved and distractions are reduced, but system complexity increases
Solution Approach 1:
The media guidance application serves as an intermediary layer between the media player and voice communication system. This intermediary component handles the complexity of content analysis and volume control logic, allowing the existing media player and communication systems to remain relatively simple while still achieving automatic adaptive volume control.
Data Source
AI summary
Systems and methods for establishing a voice communications link between multiple users accessing a media asset are provided. A media asset is accessed using a first user device, the first user device being associated with a first user at a first location. A second user who is accessing the media asset using a second user device is identified, wherein the second user is associated with the first user and is at a second location. A voice communications link between the first and second user devices that enables the first and second users to speak to each other while accessing the media asset is established. A volume level of audio received via the voice communications link is set based on content of the media asset, causing the audio received via the voice communications link from the second user to be presented to the first user at the set volume level.