AI Behavioral Analysis System for Deception Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current deception detection methods, such as polygraph tests and voice analyzers, are invasive, time-consuming, costly, and prone to human error, with limitations in measuring non-verbal visual behavior, and are biased against truthful individuals who can control their stress responses.
Innovation Solution
An automated method using artificial intelligence, specifically artificial neural networks, to analyze non-verbal visual behavior by coding measurements into channels and classifying them quickly and objectively, allowing for real-time analysis of multiple channels without human intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated machine classification techniques are used to analyze behavior channels, then analysis speed and objectivity are improved, but system complexity increases
Solution Approach 1:
The patent replaces manual mechanical analysis methods with automated machine classification techniques. Human judges manually coding channel data is substituted by computer-based artificial neural networks that automatically classify behavior channels, dramatically increasing analysis speed while maintaining objectivity. The system processes multiple channels simultaneously without human intervention, resolving the contradiction between productivity improvement and system complexity through technological substitution.
2Measurement precision
If a large number of behavior channels are analyzed, then measurement precision is improved, but processing time increases
Solution Approach 1:
The patent implements continuous parallel processing of multiple behavior channels using artificial neural networks. Instead of analyzing channels sequentially which would increase processing time, the system processes all channels simultaneously in a continuous automated workflow. This maintains high measurement precision through comprehensive multi-channel analysis while preventing time loss through parallel computation architecture.
Solution Approach 2:
Manual sequential analysis of behavior channels is replaced by automated machine classification systems that can process multiple channels in parallel. The artificial neural network architecture enables simultaneous evaluation of numerous behavior parameters, achieving high measurement precision without the time penalty that would result from sequential human analysis.
3Ease of operation
If manual coding of behavior channels by human judges is used, then ease of operation is maintained, but reliability and consistency deteriorate
Solution Approach 1:
The patent substitutes human judges with automated machine classification techniques to eliminate variability in behavioral analysis. Artificial neural networks provide consistent, reliable classification of behavior channels without the subjectivity, fatigue, or inconsistency inherent in manual human coding. The system maintains ease of operation through automated processing while dramatically improving reliability and inter-rater consistency.
Solution Approach 2:
The system performs self-service automated classification without requiring human intervention for each analysis. The machine classification technique independently processes behavior channels and generates psychological profiles autonomously, ensuring consistent application of classification criteria while eliminating the reliability issues associated with manual human judgment.
Data Source
AI summary
There is disclosed a method for analyzing the behavior of a subject comprising the steps of: making one or more measurements or observations of the subject; coding the measurements or observations into a plurality of channels; and analyzing the channels using artificial intelligence, in order to output information relating to the psychology of the subject.