Audience Engagement Measurement Using Motion Sensor Data
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for measuring audience engagement across programs are inefficient, relying on complex equipment that does not accurately determine whether viewers are actively watching supplemental content, as they may indicate audience size but not actual viewing habits.
Innovation Solution
The use of motion sensors to gather data on user movement during media asset playback, allowing for the analysis of engagement levels by identifying periods when a significant number of users are actively watching, thereby determining the most engaging times for supplemental content placement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If specialized equipment with complicated outputs (biometric sensors) is used to gather audience engagement information, then measurement precision may be improved, but device complexity increases significantly
Solution Approach 1:
The patent extracts the essential measurement function from complex biometric sensors and implements it using simple motion sensors already prevalent in consumer devices. Instead of using specialized equipment, the system takes out the core motion detection capability and applies it to audience engagement measurement through software analysis of motion patterns during media playback.
Solution Approach 2:
The patent uses motion sensor data as a proxy or copy of actual viewing behavior. Rather than directly measuring engagement through complex biometric means, the system copies motion information from simple sensors and analyzes it to infer engagement levels, achieving measurement without the complexity of direct biometric monitoring.
2Ease of operation
If motion sensors are used to measure audience engagement, then ease of operation is improved, but measurement precision may be insufficient compared to specialized equipment
Solution Approach 1:
The system implements feedback by continuously analyzing motion sensor data during media playback and using this information to determine engagement levels. The motion data provides feedback about viewer behavior, which is processed to identify engaged versus disengaged periods, allowing the system to accurately measure engagement despite using simple sensors.
Solution Approach 2:
The patent changes the parameters being measured from direct biometric indicators to motion-based indicators. By analyzing motion parameters (presence of motion, type of motion, duration) during media playback, the system transforms simple sensor data into meaningful engagement metrics, achieving both ease of operation and sufficient precision.
Data Source
AI summary
Systems and methods are described for measuring audience engagement for a media asset using user motion. For example, a media guidance application may receive movement logs from a plurality of user equipment. These movement logs may contain information indicating when each of the plurality of users moved, as detected by motion sensors, while the user equipment was generating for display a media asset. The movement logs may be analyzed to determine time periods during the media asset during which greater than a certain number of the plurality of users were moving. These time periods may in turn be used to infer how engaged the plurality of users were during the media asset or what portions of the media asset the plurality of users viewed. This data may be used to determine in what media assets, or portions thereof, supplemental video content should be inserted.