Cognitive Test Familiarity Estimation Device
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current cognitive function tests are inaccurate when subjects are not familiar with the test, leading to unreliable results due to varying familiarity levels among test-takers.
Innovation Solution
A determination device and method that acquires attribute data from subjects, estimates the required trial quantity for familiarity, and determines test validity based on this estimation, ensuring accurate familiarity assessment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a cognitive function test is administered to a subject, then test results are obtained, but the results are inaccurate when the subject is not familiar with the test
Solution Approach 1:
The system performs preliminary actions by estimating the required trial quantity before conducting the cognitive function test. It calculates how many trials the subject needs to become familiar with the test based on attribute data, and only after completing sufficient trials does it proceed to accurate measurement. This preliminary familiarization process ensures that when the actual test is administered, the subject is already familiar with the test format, thereby improving measurement precision and result reliability.
2Measurement precision
If the test is administered multiple times to improve familiarity, then test accuracy improves, but time consumption increases
Solution Approach 1:
The system changes the parameter of trial quantity from a fixed value to a dynamically estimated value based on subject attributes. By using attribute data (such as age, education level, cognitive baseline) to estimate the required trial quantity, the system optimizes the number of trials needed for each subject. This personalized approach ensures sufficient familiarity for accurate measurement while minimizing unnecessary repetitions, thereby reducing time loss while maintaining or improving test accuracy.
Data Source
AI summary
The determination device 1x mainly includes an attribute data acquisition means 15X, a trial quantity estimation means 16X, and a familiarity determination means 17X. The attribute data acquisition means 15X is configured to acquire attribute data indicating an attribute of a subject. The trial quantity estimation means 16X is configured to estimate a required trial quantity, which is a trial quantity to be required for the subject to become familiar with a test undergone by the subject, based on the attribute data. The familiarity determination means 17X is configured to determine whether or not the subject is familiar with the test, based on the required trial quantity.