Cognitive Assessment System for Financial Risk Control
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Solution Overview
Problem
The financial industry faces challenges with asymmetric credit reporting, delayed data updates, incomplete population coverage, and reliance on traditional risk control methods that fail to accurately assess credit attitudes and capabilities, leading to increased screening costs and business risks.
Innovation Solution
A cognitive assessment system utilizing a network platform with augmented and virtual reality devices, allowing individuals and organizations to perform self-assessments, generating a self-cognitive model that evaluates credit attitude and capacity through interactive scenes and artificial intelligence, thereby reducing errors associated with questionnaire methods.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional credit assessment methods are used, then the assessment process is simple and easy to operate, but the measurement precision of credit attitude and capability is insufficient
Solution Approach 1:
The patent introduces a cognitive assessment system as an intermediary between traditional credit assessment and the object being assessed. This system uses virtual reality scenes and interactive tasks to indirectly measure credit attitude and capability through cognitive behavior analysis, rather than direct questioning or simple data review, thereby improving measurement precision while managing complexity through modular design.
Solution Approach 2:
The patent replaces traditional mechanical assessment methods (questionnaires, manual review) with a computerized cognitive assessment system that uses virtual reality environments, automated task analysis, and algorithmic evaluation. This substitution enables more precise measurement of cognitive behaviors related to credit attitude while maintaining operational efficiency through automation.
2Reliability
If traditional questionnaire methods are used, then the device complexity is low, but the reliability of assessment results is insufficient due to errors and false data
Solution Approach 1:
The patent implements a self-service cognitive assessment system where the object being assessed voluntarily completes interactive tasks in a virtual reality environment. The system automatically captures behavioral data, analyzes cognitive patterns, and generates assessment results without requiring external assessors or manual intervention, thereby improving reliability through objective automated measurement while managing complexity through self-automation.
Solution Approach 2:
The patent incorporates feedback mechanisms where the cognitive assessment system continuously monitors interaction data, adjusts task difficulty, and provides real-time analysis of cognitive behaviors. This feedback loop enables dynamic adaptation to individual assessment patterns, improving the reliability of results by capturing authentic cognitive responses rather than static questionnaire answers.
3Measurement precision
If comprehensive information analysis is conducted, then the measurement precision of credit capability improves, but the loss of time in data collection and analysis increases
Solution Approach 1:
The patent implements preliminary action by pre-designing standardized virtual reality scenes and cognitive tasks that are optimized for assessing specific credit-related capabilities. The assessment framework, task sequences, and analysis algorithms are prepared in advance, allowing the system to efficiently collect and analyze comprehensive cognitive data without requiring time-consuming custom setup for each assessment, thereby reducing time loss while maintaining measurement precision.
4Productivity
If traditional risk control assessment is used, then the ease of operation is high, but the productivity of risk screening is insufficient
Solution Approach 1:
The patent applies parameter changes by transforming the assessment from static data review to dynamic cognitive behavior measurement. The system captures multiple parameters including response time, decision-making patterns, task completion sequences, and interaction behaviors in virtual environments. These changed parameters enable more efficient and comprehensive risk screening productivity while the automated analysis maintains ease of operation through standardized evaluation metrics.
Data Source
AI summary
A cognitive assessment system enabling an object under test to complete self-cognitive assessment required for the financial risk control services in the network platform environment. The invention provides an environment platform for the object under test to obtain the self-cognitive results required for the risk control services, so as to judge the credit attitude and capability of the object under test, avoid the financial credit risks, and thoroughly solve the defect that the attitude of the object under test cannot be measured through the traditional risk control assessment. In view of the risk control in credit business, the invention solves the risk problems of actual credit capacity and credit attitude of natural persons or enterprises and public institutions, avoids the errors caused by a questionnaire method in traditional operations, improves and enriches the risk control content in the financial industry.