Stimulus Information Compilation for Cognitive Testing
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Solution Overview
Problem
Current cognitive tests lack scientifically compiled stimulus information, making it difficult to objectively evaluate psychological quality, are not suitable for visually impaired or hearing-impaired individuals, and have limited application in assessing long-term stable interests and real personality characteristics.
Innovation Solution
A stimulus information compiling method that selects and analyzes stimulus information following a statistics-normal distribution, dynamically adjusts test sequences based on physiological and psychological states, and includes auditory, visual, and tactile stimuli to create a database suitable for various populations, with lie detection and guiding stimuli to ensure accurate results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If stimulus information is selected based on general questionnaire methods, then the test can be administered easily, but the stimulus information lacks scientificity and cannot objectively evaluate psychological quality
Solution Approach 1:
The patent transforms stimulus information selection from subjective questionnaire-based methods to objective statistical parameter-based selection. Stimulus information is selected based on whether its test results follow normal distribution and meet validity thresholds (e.g., validity ≥ 0.4), converting qualitative selection into quantitative parameter control that ensures both ease of administration and measurement precision
Solution Approach 2:
The patent implements feedback mechanisms where test results are continuously analyzed to determine if they follow normal distribution. Stimulus information that fails to meet statistical criteria is identified and replaced, creating a self-correcting system that maintains scientific rigor while preserving ease of administration through automated statistical validation
2Device complexity
If only visual stimulus information is provided, then the test system is simple to implement, but it is not suitable for visually impaired or hearing-impaired individuals
Solution Approach 1:
The patent makes the test system universal by incorporating multiple stimulus information types (visual, auditory, tactile) that can be selected based on the test subject's needs. The same test framework accommodates different sensory modalities, allowing the system to serve visually impaired, hearing-impaired, and able-bodied individuals without requiring separate test systems
Solution Approach 2:
The patent introduces dynamic adaptability where the type of stimulus information presented is adjusted based on the test subject's characteristics. The system can dynamically switch between visual, auditory, and tactile stimuli, transforming a static single-modality system into a flexible multi-modality system that adapts to diverse population needs
3Loss of time
If stimulus information is selected without statistical validation, then the test compilation is quick and simple, but the test results cannot reliably assess long-term stable interests and personality characteristics
Solution Approach 1:
The patent performs preliminary statistical validation of stimulus information before it is used in tests. Stimulus information undergoes pre-testing to determine if its results follow normal distribution and meet validity thresholds. This preliminary action ensures that only scientifically valid stimulus information enters the test database, guaranteeing reliability while maintaining efficiency through automated statistical screening
Solution Approach 2:
The patent replaces manual, time-consuming test compilation methods with automated statistical analysis systems. Computer algorithms automatically analyze whether test results follow normal distribution and calculate validity coefficients, substituting mechanical manual review with efficient computational validation that maintains high reliability while reducing time investment
Data Source
AI summary
The present invention relates to a stimulus information compiling method for tests, characterized in that, the stimulus information compiling method comprises the following steps: selecting and using stimulus information which follows a statistics-normal distribution and is analyzed and measured by validity to form a stimulus information database (Q); reasonably setting at least one stimulus information to be a test including at least one test sequence, for a subject to make a selection according to his or her personal interests; comparing a test score of the subject with that of a valid sample person in a normal distribution model, thereby confirming the distribution of the subject in each cognitive dimension. The present invention compares a test score of the subject with that of a valid sample person in a normal distribution model, thereby confirming the test result of the subject.