Dioptric Parameter Determination Using Certainty Feedback
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Solution Overview
Problem
Current methods for determining dioptric parameters of ophthalmic lenses are complex, time-consuming, and highly dependent on the expertise of eye care practitioners, making them inefficient and prone to errors, especially when measuring small power steps or when individuals provide uncertain or incorrect responses.
Innovation Solution
A method involving a set-up and data collection process where a person assesses a visual target using a test optical element with varying dioptric parameters, collecting evaluation and certainty data to determine the dioptric parameter and sensitivity, using global analysis to refine measurements and reduce uncertainty.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If classic measurements are used to determine dioptric parameters, then measurement accuracy can be achieved, but the process becomes time-consuming and highly dependent on practitioner expertise
Solution Approach 1:
The system automatically collects evaluation data and certitude data from the person, then processes this data through algorithms to determine dioptric parameters without requiring continuous practitioner intervention or judgment, enabling the measurement process to serve itself
Solution Approach 2:
The patent replaces the mechanical/practitioner-based judgment system with an automated data collection and analysis system that uses algorithms to process evaluation data and certitude data, substituting human expertise with a systematic computational approach
2Productivity
If existing adaptive psychophysical procedures are used, then measurement speed can be improved, but reliability decreases when persons provide uncertain or random answers
Solution Approach 1:
The system incorporates certitude data as feedback to monitor the reliability of evaluation data in real-time, allowing the measurement process to adapt when persons provide uncertain or random answers by detecting patterns of low certitude and adjusting accordingly
Solution Approach 2:
The patent implements a dynamic measurement approach where the system adapts its behavior based on the collected certitude data, adjusting the measurement process in response to the person's level of certainty rather than following a fixed procedure
3Measurement precision
If complex measurements requiring practitioner judgment are performed, then accurate results can be obtained, but the complexity and cost of the system increase
Solution Approach 1:
The patent segments the measurement process into distinct components: data collection (evaluation data and certitude data), data processing, and result determination. This segmentation allows each component to be independently optimized and reduces overall system complexity by breaking down the complex practitioner judgment process into manageable algorithmic steps
Data Source
AI summary
A method for determining a dioptric parameter includes: first, a test optical element having a dioptric function having a specific value of the dioptric parameter to be determined is provided and the person looks at a visual target using the test optical element; second, evaluation data and certitude data are collected, the evaluation data being indicative of the visual assessment expressed by the person looking at the visual target using the test optical element and certitude data being indicative of the degree of certainty of the person upon expressing the visual assessment. The first and second steps are repeated by varying the value of the dioptric parameter. For each value of the dioptric parameter tested a value a degree of certainty of the person is determined. The value of the dioptric parameter of the person is determined based on the values of degree of certainty of the person.