Volume Change Event Detection for User Interest Measurement
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Solution Overview
Problem
Media content providers face challenges in measuring user interest effectively to personalize content and improve content creation, as existing methods lack precision in determining user engagement with media content.
Innovation Solution
A method and system that utilize volume change events detected by client devices, such as smartphones with microphones, to analyze user interest in media content, where volume changes are correlated with media content metadata to determine user engagement, and this data is sent to a server system for aggregation and analysis to identify important scenes or user preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional non-interactive media consumption methods are used, then users can access media content through simple channels, but providers cannot measure user interest effectively
Solution Approach 1:
The patent replaces traditional mechanical survey methods (questionnaires, ratings) with an acoustic detection system using microphones to capture volume change events. This substitution enables automated, continuous measurement of user interest through audio signals rather than manual user input, significantly improving measurement precision while maintaining system simplicity.
Solution Approach 2:
The system enables users to passively contribute to interest measurement through their natural volume adjustment behaviors without requiring active participation. Users simply adjust media volume as they normally would, and the system automatically captures these events as interest indicators, eliminating the need for separate measurement interactions.
2Measurement precision
If volume change events are used to measure user interest, then measurement precision improves, but the system requires additional detection capabilities
Solution Approach 1:
The patent leverages the existing microphone hardware in client devices, which was originally designed for communication purposes, and repurposes it for volume change detection and user interest measurement. This multi-functional use of existing components improves measurement precision without requiring specialized detection equipment, thereby reducing the difficulty of implementation.
3Measurement precision
If more user interest data is collected, then recommendation accuracy improves, but data processing complexity increases
Solution Approach 1:
The patent extracts only the specific volume change event data needed for interest measurement from the overall audio signal stream, rather than processing complete audio recordings or other comprehensive user behavior data. This selective extraction improves recommendation accuracy by focusing on relevant signals while minimizing data processing complexity through targeted data collection.
Data Source
AI summary
An electronic device monitors audible output for media content being presented in its vicinity. It detects a volume change event within the monitored audible output. It obtains identification of the media content. Based on the identification, the device obtains a list of expected volume change events within the media content. It determines whether the detected volume change event correlates with one of the expected volume change events. In accordance with a determination that there is no correlation, the device determines that the detected volume change event comprises a volume change event from a user of the device. It analyzes the detected volume change event to determine user interest in the presented media content. The determined level of interest is sent to a server system. The device receives from the server system one or more recommendations based on the determined level of interest, and presents to the user the recommendations.