Content-Modification System Volume Detection
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Solution Overview
Problem
Conventional techniques for measuring user interest in advertisements fall short as they primarily detect channel changes, which only indicate disinterest and do not provide accurate information about user engagement, especially when viewers remain tuned to the channel but adjust audio volume.
Innovation Solution
The system analyzes audio volume levels before, during, and after advertising segments to gauge user interest, using volume comparisons to select and schedule targeted advertising segments, and combines this data with user demographics for more effective advertising strategies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional techniques detect channel changes to measure user interest, then device complexity is reduced, but measurement precision deteriorates because channel changes only indicate disinterest and do not provide accurate information about user engagement
Solution Approach 1:
The patent replaces the mechanical/channel-based detection system with an acoustic-based detection system. Instead of monitoring channel changes (mechanical/system state), the system monitors audio volume levels (acoustic parameter) to determine user interest. This substitution enables more precise measurement of user engagement while maintaining relatively simple system architecture.
2Measurement precision
If the system monitors audio volume levels before, during, and after advertising segments, then measurement precision improves by providing accurate user engagement data, but use of energy increases due to continuous monitoring and analysis
Solution Approach 1:
The patent divides the monitoring process into distinct segments: pre-advertising volume monitoring, during-advertising volume monitoring, and post-advertising volume monitoring. Each segment has specific measurement objectives and thresholds. This segmentation allows the system to focus computational resources on critical measurement points rather than continuous monitoring, reducing overall energy consumption while maintaining high measurement precision.
Solution Approach 2:
The system implements partial monitoring by focusing only on specific time intervals (before, during, and after advertising segments) rather than continuous monitoring of all content. This partial action approach provides sufficient user engagement data for advertising effectiveness measurement while significantly reducing the energy expenditure required for constant surveillance.
3Productivity
If the system implements real-time volume level analysis and scheduling of additional advertising segments, then productivity increases through optimized advertising delivery, but device complexity increases due to the need for real-time processing and decision-making
Solution Approach 1:
The system performs preliminary actions by pre-establishing volume threshold criteria and advertising segment schedules before real-time monitoring begins. The content modification system is pre-configured with rules for when and how to insert additional advertising segments based on volume level patterns. This preliminary preparation reduces the complexity of real-time decision-making, as the system only needs to compare current volume levels against pre-set criteria rather than making complex decisions on the fly.
Solution Approach 2:
The system implements a feedback loop where volume level measurements during advertising segments feed back into the scheduling decisions for subsequent advertising. The content modification system continuously monitors volume levels and adjusts advertising segment scheduling based on this feedback. This feedback mechanism enables optimized advertising delivery (improved productivity) while maintaining manageable system complexity, as the feedback follows predetermined rules and thresholds rather than requiring complex real-time analysis.
Data Source
AI summary
Methods and systems for volume-level detection in content-modification system are disclosed. A content-modification system may make a first determination that a content-presentation device is receiving particular programming content on a given channel. The particular content may include a program segment immediately followed by an advertising segment. A second determination may be made that the content-presentation device remains tuned to the given channel during a time interval spanning a transition between the program segment and the advertising segment. An indication may be received from the content-presentation device of a first volume level of audio during a portion of the time interval prior, and leading up, to the transition, and a second volume level of audio during a portion of the time interval after to the transition. A comparison of the first and second volume levels may be made, and used as a basis for selecting and scheduling future additional advertising segments.