Audience Engagement Measurement via Encoded Audio Analysis
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Solution Overview
Problem
Current systems for audience measurement lack the ability to objectively quantify levels of audience engagement, such as enthusiasm, with existing technologies focusing primarily on detecting broadcast segments rather than measuring engagement levels.
Innovation Solution
The solution involves encoding media data with identifying information using spread spectrum techniques, allowing for the analysis of absolute listening levels and compensation for background noise, combined with external inputs from biometric feedback devices to determine engagement levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If passive recording methods are used to detect broadcast segments, then broadcast segment detection accuracy is improved, but audience engagement measurement capability is lost
Solution Approach 1:
The patent applies multi-functionality by enabling the same passive recording device to perform both broadcast segment detection and audience engagement measurement. The system analyzes audio characteristics to identify segments while simultaneously measuring listening levels, background noise, and engagement metrics, eliminating the need for separate specialized devices for each function.
Solution Approach 2:
The system measures changes in audio parameters including listening levels, background noise levels, and engagement indicators to determine audience engagement. By monitoring parameter variations over time during broadcast segments, the system can objectively quantify engagement levels while maintaining accurate segment detection.
2Adaptability or versatility
If encoding techniques are added to broadcast segments, then audience engagement measurement is enabled, but broadcast segment identification complexity increases
Solution Approach 1:
The patent merges the encoding of engagement data with the existing broadcast segment identification codes. The system combines listening level information, background noise data, and engagement metrics into a unified encoded signal that can be detected and analyzed by the passive recording device without requiring separate encoding systems for each function.
Solution Approach 2:
The system uses an intermediary analysis process that decodes and interprets the encoded engagement data in conjunction with broadcast segment information. The intermediary layer processes both the segment identification codes and engagement metrics, correlating them to provide comprehensive audience measurement while maintaining simple segment identification.
3Measurement precision
If absolute listening levels are measured to determine engagement, then engagement quantification is improved, but sensitivity to background noise increases
Solution Approach 1:
The system continuously monitors and compares listening levels against background noise levels, using this feedback to determine genuine audience engagement. By analyzing the relationship between foreground audio (broadcast segments) and background noise, the system can distinguish between actual engagement and noise-induced measurements, adjusting engagement calculations accordingly.
Solution Approach 2:
The patent converts background noise from a harmful factor into a useful measurement indicator. By measuring background noise levels, the system can actually enhance engagement detection accuracy, as noise patterns provide additional context about the listening environment and help differentiate between genuine engagement and passive presence in the audience.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enables the objective measurement of audience engagement by analyzing encoded media data, providing accurate engagement metrics despite ambient noise, and integrating biometric data for a comprehensive understanding of audience interaction.
Implementation Method 1
encoding media data with identifying information using spread spectrum techniques
Implementation Method 2
external inputs from biometric feedback devices
Data Source
AI summary
An apparatus, system and method for determining levels of audience engagement relative to encoded audio data, where an encoded audio data is captured in a mobile device. The audio data is captured over one or more predetermined time periods, and processed to determine characteristics of the audio data. The characteristics are determined according to one or more predetermined thresholds, where volume levels, levels of encoding, and or other features are monitored. By determining levels in the audio data that exceed predetermined thresholds, engagement levels and values may be determined relative to the audio data captured over the time period. Data from preceding time periods may be compared to obtain comprehensive engagement data for audience measurement systems.