Neuro-response Analysis for Stimulus Placement
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Solution Overview
Problem
Conventional systems for placing stimulus material, such as in media or video games, rely on demographic and statistical data, leading to semantic, syntactic, metaphorical, and interpretive errors, and fail to accurately measure neuro-response, resulting in ineffective stimulus placement.
Innovation Solution
A system that analyzes neuro-response measurements, including EEG, fMRI, and autonomic nervous system data, to identify locations eliciting controlled and automatic attention, using data cleansing and synthesis techniques to personalize and optimize stimulus placement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional systems use demographic and statistical data for stimulus placement, then the system is simple to operate, but the placement accuracy and effectiveness deteriorate due to semantic, syntactic, and interpretive errors
Solution Approach 1:
The patent replaces conventional demographic and statistical data collection methods with neuro-response measurement systems (EEG, fMRI, eye-tracking) that directly measure brain activity and attention mechanisms. This substitution eliminates semantic, syntactic, and interpretive errors inherent in self-reported data while providing objective, physiologically-based placement criteria.
Solution Approach 2:
The patent introduces neuro-response measurements as an intermediary between the stimulus material and the placement decision process. These measurements serve as objective mediators that translate complex brain states into quantifiable attention metrics, enabling accurate stimulus placement without relying on subjective demographic data.
2Measurement precision
If the system integrates multiple neuro-response measurement modalities (EEG, fMRI, autonomic data), then the measurement precision improves, but the device complexity and data processing requirements increase
Solution Approach 1:
The patent merges multiple neuro-response measurement modalities (EEG for cortical activity, fMRI for blood flow patterns, eye-tracking for attention direction, and autonomic measurements for emotional arousal) into a unified attention analysis system. This combination provides comprehensive coverage of different attention mechanisms while sharing common data processing infrastructure.
Solution Approach 2:
The patent creates a multi-functional measurement system where a single integrated platform performs diverse functions: detecting controlled attention, automatic attention, salience, and emotional engagement through different measurement modalities. This universal system reduces overall complexity compared to separate specialized systems.
3Productivity
If the system uses neuro-response data to personalize stimulus placement, then the effectiveness and attention engagement improve, but the data processing and analysis complexity increases
Solution Approach 1:
The patent performs preliminary analysis of neuro-response data to establish baseline attention patterns and salience characteristics before final stimulus placement decisions. This pre-processing creates simplified reference models that guide subsequent placement decisions, reducing the complexity of real-time personalized placement.
Solution Approach 2:
The patent implements feedback loops where neuro-response measurements from previous stimulus presentations inform subsequent placement decisions. This iterative process refines placement accuracy over time while building progressively more accurate attention models, reducing the processing burden on individual decisions.
Data Source
AI summary
An example system disclosed herein includes an analyzer to determine a first priming characteristic of media at a first location based on first neuro-response data and determine a second priming characteristic of the media at the second location based on second neuro-response data. The example system includes a selector to select a third location in the media after the first location or a fourth location in the media after the second location as a candidate location for introduction of advertising material based on the first priming characteristic and the second priming characteristic. The selector is to select the third location when the first priming characteristic indicates increased receptivity to the advertising material at the first location relative to the second priming characteristic and select the fourth location when the second priming characteristic indicates increased receptivity to the advertising material at the second location relative to the first priming characteristic.