Adaptive Subjective Testing for Corrective Lens Optical Features
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Solution Overview
Problem
Existing subjective tests for determining optical features of corrective lenses are time-consuming and inaccurate, particularly for specific subjects like children, due to a lack of customization and reliance on standardized protocols.
Innovation Solution
A system and method that utilize an initial model to adapt the subjective test protocol by incorporating personal features of the subject, such as age, ametropia, and sensitivity, to determine a subjective value of optical features more efficiently and accurately, using a computer to modify the test based on descriptive answers and real optical conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a standardized subjective test protocol is used, then the test can be performed with simple equipment, but the test takes a long time and is inaccurate for specific subjects
Solution Approach 1:
The system performs preliminary actions by acquiring personal features of the subject before the subjective test and using these features to determine an initial model and customized test protocol. This preliminary customization enables the test to be more accurate and efficient from the start, resolving the contradiction between test accuracy and time consumption.
Solution Approach 2:
The test protocol is made dynamic by continuously adapting it based on the subject's descriptive answers during the test. The system modifies the protocol in real-time according to the subject's responses and the initial model, allowing the test to optimize its path toward accurate results while minimizing time required.
2Reliability
If a standardized subjective test protocol is used, then the protocol is simple to implement, but it is inaccurate for specific subjects such as children
Solution Approach 1:
The system performs self-service by automatically acquiring personal features, determining the initial model, and customizing the test protocol without requiring complex manual configuration by operators. The computer automatically manages the customization process based on the subject's personal features, maintaining simplicity of operation while achieving high reliability.
Solution Approach 2:
The test protocol is customized by changing parameters such as the range of optical conditions, step values, and presentation sequences based on the subject's personal features. This parameter-based customization approach allows the system to adapt to specific subjects like children without requiring fundamentally different test methodologies, balancing reliability with manageable complexity.
3Measurement precision
If personal features are incorporated to customize the test, then the test becomes more accurate, but the system complexity increases
Solution Approach 1:
The system replaces complex manual customization processes with automated computer-based processing. The computer automatically acquires personal features, determines the initial model, and customizes the protocol, substituting mechanical/manual operations with computational processes that achieve high precision while managing system complexity through automation.
Solution Approach 2:
Personal features are acquired and the initial model is determined before the subjective test begins. This preliminary processing of personal information allows the system to establish a customized framework in advance, achieving high measurement precision during the actual test while confining the complexity to a one-time setup phase rather than continuous operation.
Data Source
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AI summary
The invention relates to a system for determining a value of a magnitude associated with a subjective value of an optical feature of at least a corrective lens adapted to an eye of a subject, by implementing a subjective test where the subject is asked to describe his visual performance in a plurality of real optical conditions by choosing one descriptive answer among a set of possible descriptive answers, comprising a computer with one or more memory and one or more processor, wherein: - an initial model giving the probability of each descriptive answer of the set of descriptive answers for each theoretical optical condition of a plurality of theoretical optical conditions is stored in one of said one or more memory of said computer, - said one or more processor of said computer is programmed to: a) collect (500) the results of said subjective test, performed by asking the subject to describe his visual performance in each real optical condition of said plurality of real optical conditions by choosing, for each real optical condition, one descriptive answer among said set of possible descriptive answers, said results comprising each descriptive answer chosen and the corresponding real optical condition, b) determine (800, 900) the value of said magnitude by taking into account said initial model and each descriptive answer collected.