Emotional Response Risk Detection System
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Solution Overview
Problem
Existing systems fail to detect and mitigate the risk of an emotional response from an audience to a publication before the response occurs, leading to missed opportunities for corrective measures.
Innovation Solution
A method and system that use a computing device to analyze publications by generating test vectors from prototype vectors associated with risk factors, determining the magnitude of these factors, and applying a weighting model to predict the risk of an emotional response, allowing for proactive measures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If emotional response detection is performed using traditional methods, then the emotional response can be identified, but the detection occurs only after the audience has already taken action, making corrective measures impossible
Solution Approach 1:
The system performs preliminary analysis of publications by comparing them against prototype vectors associated with emotional responses before the audience actually reacts. This allows the system to predict and flag high-risk publications in advance, enabling publishers to take corrective actions before emotional responses occur, thus resolving the timing issue while maintaining reliability
2Measurement precision
If a comprehensive analysis of all publications is performed to detect emotional responses, then accurate detection is achieved, but the complexity and computational resources required increase significantly
Solution Approach 1:
The system creates simplified prototype vectors that represent patterns of publications likely to elicit emotional responses. Instead of analyzing every publication comprehensively, the system compares publications against these pre-established prototypes, maintaining detection accuracy while significantly reducing computational complexity and resource requirements
Data Source
AI summary
A method for determining a risk of an emotional response of an audience to at least one publication is described. Additionally, a computing device for determining a risk of an emotional response of an audience to at least one publication is described. Moreover, a computer-readable storage device having processor-executable instructions embodied thereon, for determining a risk of an emotional response of an audience to at least one publication, is described.