Mirror Neuron Analysis for Stimulus Evaluation

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Solution Overview

Problem

Conventional systems for evaluating stimulus materials, such as programs and advertisements, are prone to semantic, syntactic, metaphorical, and cultural errors, leading to inaccurate and non-repeatable assessments.

Innovation Solution

The use of mirror neuron system analysis, which measures neuro-response data to determine an individual's propensity to act by analyzing mu and gamma rhythms, combined with central nervous system, autonomic nervous system, and effector measures, to evaluate stimulus materials effectively.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If conventional survey and focus group methods are used to evaluate stimulus materials, then the evaluation process is simple and easy to implement, but the accuracy and repeatability of the evaluation are poor due to semantic, syntactic, metaphorical, cultural, and interpretive errors

Engineering Contradiction:
Improveevaluation accuracyVSAvoidsystem complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent replaces conventional survey and focus group methods with a neuro-response measurement system that uses mirror neuron system analysis. This substitution eliminates semantic, syntactic, and interpretive errors by directly measuring neural activity patterns (mu and gamma rhythms) in response to stimulus materials, thereby significantly improving evaluation accuracy and repeatability.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent introduces an intermediary measurement system that captures neural responses between the stimulus material and the evaluation outcome. By measuring mu rhythm suppression and gamma rhythm enhancement in the mirror neuron system, the system provides an objective intermediate metric that bridges the gap between stimulus exposure and behavioral response, enabling more accurate evaluation.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Reliability

If mirror neuron system analysis with multiple measurement modalities is implemented, then the evaluation accuracy and repeatability improve, but the system complexity and measurement difficulty increase

Engineering Contradiction:
Improveevaluation repeatabilityVSAvoidneuro-response measurement difficulty
Core Design Contradiction:
ReliabilityVSDifficulty of detecting and measuring

Solution Approach 1:

The patent segments the evaluation system into distinct measurement modalities: central nervous system measures (mu and gamma rhythm analysis), autonomic nervous system measures, and effector measures. Each modality targets specific neural or physiological responses, allowing for specialized measurement approaches that improve reliability while managing complexity through modular design.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent creates a multi-functional measurement system that simultaneously captures central nervous system activity, autonomic nervous system responses, and effector outputs. This universal system evaluates multiple aspects of stimulus response (propensity to act, learn, and empathy) through a single integrated apparatus, improving reliability without proportionally increasing operational difficulty.

Inventive Principle:
Principle #6Universality (Multi-functionality)

3Adaptability or versatility

If multiple neuro-response measurement modalities are used to determine propensity to act, learn, and empathy, then the comprehensiveness of the evaluation improves, but the data analysis complexity increases

Engineering Contradiction:
Improveevaluation comprehensivenessVSAvoiddata analysis complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent applies local quality by assigning specific measurement modalities to specific evaluation dimensions: mu and gamma rhythm analysis targets propensity to act, other central nervous system measures target propensity to learn, and autonomic/effector measures target empathy. This localized assignment of measurement functions to specific neural substrates enables comprehensive evaluation while simplifying data analysis through targeted, dimension-specific processing.

Inventive Principle:
Principle #3Local quality

Data Source

PatentUS8655437B2Analysis of the mirror neuron system for evaluation of stimulus
Publication Date: 2014.02.18 NIELSEN CONSUMER LLC
  • US8655437B2 patent drawing
  • US8655437B2 patent drawing
  • US8655437B2 patent drawing

AI summary

The human mirror neuron system includes neurons that fire both when an individual performs an action and when the individual observes the action being performed by another. Neuro-response data involving the mirror neuron system is collected as a subject is exposed to stimulus material. The stimulus material may include individuals performing actions such as making a purchase, accepting an offer, participating in an activity, etc. Neuro-response data involving the mirror neuron system of the subject is analyzed to determine the propensity of the subject to act.