Media Playback Volume Prediction From Historical Adjustment Behavior
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Solution Overview
Problem
Existing media playback systems require manual volume adjustments post-equalization, affecting user experience.
Innovation Solution
A method for adjusting volume based on historical playback records to determine a volume adjustment probability, using a comparison of probabilities for increasing or decreasing the preset volume, and applying a target adjustment policy to optimize playback volume.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If media data is equalized to ensure balanced playback loudness, then playback quality is improved, but manual volume adjustment is still required which affects user experience
Solution Approach 1:
The system performs preliminary volume adjustment before playback based on historical data analysis. By predicting the optimal volume setting in advance using equalization characteristics and user behavior patterns, the system pre-configures the volume to match user preferences, eliminating the need for manual adjustment during playback while maintaining equalization quality
2Ease of operation
If manual volume adjustment is allowed, then user experience can be improved, but the system requires continuous user intervention which reduces automation
Solution Approach 1:
The system establishes a feedback loop by collecting historical volume adjustment data during playback, analyzing user preferences and equalization characteristics, and using this information to automatically adjust volume settings for future playbacks. This closed-loop system learns from user behavior and progressively improves automation, reducing the need for continuous manual intervention while enhancing user experience
Solution Approach 2:
The system enables self-service by automatically adjusting volume based on analyzed historical data and predicted user preferences. The equalization characteristics and playback history serve as the system's own knowledge base, allowing it to autonomously optimize volume settings without requiring user input, thereby improving both automation level and user experience
3Extent of automation
If volume is adjusted based on historical playback records, then the need for manual adjustment is reduced, but system complexity increases
Solution Approach 1:
The system achieves volume adjustment functionality by integrating multiple existing components: equalization analysis module, historical data storage, probability calculation engine, and automatic control module. By making these existing components work together in a unified framework, the system reduces manual adjustment needs without requiring entirely new complex subsystems, thereby managing complexity while improving automation
Data Source
AI summary
The present disclosure provides a method for adjusting volume, an electronic device, and a non-transitory computer-readable storage medium. The method for adjusting volume includes: determining a volume adjustment probability of target media data during its playback at a preset volume based on a historical playback record of the target media data, wherein the historical playback record includes a volume adjustment record of the target media data during its playbacks in the past; in response to that the volume adjustment probability is greater than a first threshold, determining a first probability for increasing the preset volume and a second probability for reducing the preset volume based on the volume adjustment record; based on a comparison result between the first probability and the second probability, determining a target adjustment policy; and adjusting the preset volume according to the target adjustment policy to determine a to-be-played volume of the target media data.