Audience Engagement Measurement With Secondary-Display Detection
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Solution Overview
Problem
Existing audience measurement systems inaccurately determine engagement levels as they treat all detected individuals as equally engaged with primary media devices, despite some individuals being distracted by secondary media devices.
Innovation Solution
The system uses a multimodal sensor to detect light patterns and glows from secondary media devices, determining interaction and type, adjusting engagement levels based on these detections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If all detected individuals are treated as equally engaged with primary media devices, then the measurement system is simple and easy to operate, but the engagement level measurement precision deteriorates due to inability to distinguish between primary and secondary media device interactions
Solution Approach 1:
The system segments the media device detection into distinct categories: primary media devices (e.g., televisions) and secondary media devices (e.g., mobile phones, tablets). By segmenting the detection targets and applying different analysis methods to each type, the system achieves precise engagement measurement without requiring complete redesign of the entire measurement architecture.
Solution Approach 2:
The system applies different detection and analysis qualities to different media devices based on their importance. Primary media devices receive comprehensive analysis including light pattern detection and interaction identification, while secondary media devices are detected and used to adjust engagement levels. This local differentiation enables precise measurement without uniform treatment of all devices.
2Measurement precision
If the system detects and analyzes light patterns from secondary media devices, then the engagement level measurement precision improves, but the device complexity increases due to additional sensor requirements and processing
Solution Approach 1:
The multimodal sensor system performs multiple functions: detecting primary media devices, detecting secondary media devices, identifying light patterns, and determining device types. By making the sensor system multi-functional, the patent avoids adding separate dedicated sensors for each function, thereby reducing overall system complexity while maintaining high measurement precision.
Solution Approach 2:
The system changes the detection parameters by analyzing light patterns (brightness, color, distribution) from media devices. By transforming physical light characteristics into engagement metrics through parameter transformation, the system achieves precise measurement using existing sensor capabilities rather than requiring new specialized sensors.
3Measurement precision
If the system determines interaction type and adjusts engagement levels, then the measurement precision improves, but the processing time and computational resources increase
Solution Approach 1:
The system performs preliminary detection and classification of media devices and their light patterns before final engagement calculation. By pre-identifying device types and interaction modes, the system reduces computational complexity during the main processing phase, thereby limiting time loss while maintaining precision.
Solution Approach 2:
The system applies full analysis only when necessary (e.g., when secondary media device interaction is detected) and uses simplified models for common cases. This partial application of complex processing only where needed maintains high precision for critical measurements while minimizing overall processing time and computational resource consumption.
Data Source
AI summary
Methods and apparatus to determine engagement levels of audience members are disclosed. An example apparatus includes means for detecting whether an environment associated with a first device includes a second device with a display that is illuminated. The example apparatus also includes means for calculating an engagement of a user with respect to the first device based on a proximity between the user and the illuminated display.