Voice-Based Psychometric Prediction System
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Solution Overview
Problem
Conventional psychometric analysis methods are prone to personal bias and are inefficient for large-scale user analysis, as they rely on interviews and artificial tests that fail to consider recent activities and behavioral changes, leading to inaccurate business outcome predictions.
Innovation Solution
A system that analyzes voice samples of users to predict business outcomes by generating predictor models based on historical data and psychometric features, using machine learning algorithms to provide accurate and unbiased insights.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional psychometric analysis methods (interviews with psychologists, counselors, or therapists) are used, then personal judgment and bias of interviewers is introduced, but measurement precision and reliability of business outcome predictions deteriorate
Solution Approach 1:
The patent replaces the mechanical system of human interviewers conducting psychometric analysis with an automated voice-based analysis system. The system uses voice samples, historical data, and machine learning algorithms to predict business outcomes, eliminating interviewer bias and subjectivity while maintaining ease of operation through automated processing
Solution Approach 2:
The patent creates a digital copy of user behavior patterns through voice samples and historical data. Instead of relying on direct human observation and judgment, the system analyzes recorded voice data and patterns to generate predictions, effectively copying behavioral information for objective analysis
2Reliability
If manual psychometric analysis is conducted for large numbers of users, then comprehensive analysis is achieved, but productivity and time efficiency deteriorate
Solution Approach 1:
The system enables self-service analysis by automatically processing voice samples and historical data without requiring manual intervention. The machine learning algorithms autonomously analyze user patterns and generate business outcome predictions, allowing comprehensive analysis of large user bases at scale
Solution Approach 2:
The patent implements continuous automated analysis of voice samples and user data. The system operates continuously to process and analyze user information, maintaining consistent and comprehensive psychometric analysis across large populations without the interruptions inherent in manual methods
3Adaptability or versatility
If artificial tests (TAT, WAT) are used for psychometric analysis, then standardized testing is achieved, but accuracy deteriorates due to failure to consider recent activities and behavioral changes
Solution Approach 1:
The patent introduces dynamic analysis by continuously incorporating recent user activities and behavioral changes into the psychometric assessment. Instead of static artificial tests, the system analyzes evolving voice patterns and recent behavior data to capture current user states and predict accurate business outcomes
Solution Approach 2:
The system performs preliminary analysis of voice samples and historical data before generating business outcome predictions. By pre-processing and analyzing recent user behaviors and voice patterns, the system establishes an accurate baseline for predicting current and future business outcomes
Data Source
AI summary
A method and a system for predicting business outcomes by analyzing voice data of users are provided. The method includes generation of predictor models based on test data of test users. The test data includes historical data of the test users, voice samples of the test users, and answers provided by the test users to psychometric questions. The predictor models are then used to predict psychometric features and business outcomes based on target data of a target user. The target data includes voice samples of the target user, historical data of the target user, and answers provided by the target user to the psychometric questions.