Physiological Engagement Measurement System
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Solution Overview
Problem
Creative professionals face challenges in accurately measuring engagement with interactive media, activities, and products, as existing methods lack effective means to quantify user response, leading to potential revenue loss due to competition from better-stimulating alternatives.
Innovation Solution
A novel system and method that utilizes physiological signals from the brain and body, such as EEG and heart rate, to calculate an engagement value, allowing for objective measurement and ranking of media engagement, enabling creators to improve media content and determine population response.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If physiological signals (EEG, heart rate) are used to measure engagement, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent combines multiple physiological measurement components (EEG electrodes, heart rate sensors, galvanic skin response detectors) into an integrated system that simultaneously captures multiple engagement indicators. This merging approach improves measurement precision by capturing comprehensive physiological data while managing complexity through integrated architecture.
Solution Approach 2:
The system is designed to measure multiple types of physiological signals (brain waves, heart rate, skin conductance) using a single integrated platform. This multi-functionality allows the system to capture various aspects of engagement through different physiological channels, improving overall measurement accuracy without requiring separate dedicated devices for each metric.
2Measurement precision
If multiple physiological signals are collected simultaneously, then measurement precision is improved, but loss of information increases due to data processing complexity
Solution Approach 1:
The system incorporates real-time feedback loops where physiological data is continuously collected, processed, and used to adjust measurement parameters. This feedback mechanism ensures that information is preserved through iterative refinement of data collection strategies, allowing the system to maintain measurement precision while managing data complexity through adaptive processing.
Solution Approach 2:
The patent implements preliminary data processing and filtering stages that prepare physiological signals before full analysis. By pre-processing signals to remove noise and organize data structures in advance, the system preserves critical information while reducing the complexity of subsequent analysis, preventing information loss during processing.
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
The system effectively quantifies engagement by correlating alpha and theta brainwaves with heart rate to provide an engagement value, enabling efficient improvement of media content and ranking, thereby helping creators maximize value and reduce revenue loss.
Implementation Method 1
Using the electroencephalogram (EEG) researchers recorded the physiological signals though electrodes attached to the head
Implementation Method 2
The photoplethysmograph (PPG) is an optically obtained measurement which can be used to find the cardiac cycle. A PPG uses a pulse oximeter to observe a change in oxygen omission from the skin
Implementation Method 3
The electrocardiogram (ECG), measures heartbeats via an electrode attached to the chest
Data Source
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AI summary
A system and method for calculating an engagement value by quantifying an amount that a user is acting without thinking considering brainwaves and a heart rate can be used to compare media based on an individual or a group of individuals. Events of the media can be contrasted and compared by the engagement value as well. Statistical measurements may be taken to improve media.