Dyslexia Risk Detection Using Auditory Visual Query Timing
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Solution Overview
Problem
Current methods for detecting dyslexia are expensive, difficult to access, and often misdiagnosed, leading to ineffective treatments and delayed intervention, especially when not identified early in childhood when treatment is most effective.
Innovation Solution
A computer-implemented method and system that uses non-verbal query pages with auditory queries and timing data to assess a user's risk of dyslexia, allowing for early detection and personalized assessments through client devices and servers, enabling accessible and efficient screening.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If common techniques for detecting dyslexia are used, then detection capability is provided, but cost and accessibility increase
Solution Approach 1:
The patent uses visual and auditory copies of letter patterns and sounds to assess dyslexia risk. Query pages display visual representations of letters and words while auditory queries present corresponding sounds, allowing users to respond without requiring complex diagnostic equipment or specialized testing environments.
Solution Approach 2:
The patent replaces traditional mechanical or clinical assessment methods with a computer-based system that uses visual displays and auditory outputs. The system substitutes manual administration and interpretation with automated computer processing, reducing costs and improving accessibility while maintaining detection reliability.
2Reliability
If dyslexia is not detected early, then treatment effectiveness is reduced, but detection timing is delayed
Solution Approach 1:
The patent implements a preliminary screening process that can be administered early in childhood before formal reading instruction begins. By assessing phonological processing skills through visual and auditory queries before traditional reading difficulties fully develop, the system enables early detection and timely intervention while treatment effectiveness is still highest.
3Measurement precision
If traditional dyslexia assessment methods are used, then diagnostic accuracy is provided, but complexity and difficulty of access increase
Solution Approach 1:
The patent segments the assessment into multiple independent query pages, each containing specific visual and auditory pairs. This modular structure allows the complex diagnostic process to be broken down into manageable, simple interactions for users while maintaining comprehensive coverage of dyslexia-related phonological processing skills.
Solution Approach 2:
The patent creates a universal assessment system that can be administered through standard computer devices without requiring specialized equipment. The same visual and auditory query mechanism works across different platforms and user levels, simplifying access while maintaining diagnostic accuracy through standardized scoring algorithms.
Data Source
AI summary
The present disclosure is directed to systems and methods for determining an individual's risk of dyslexia. A plurality of query pages may be rendered. Each query page may comprise a plurality of non-verbal answers that are selectable by the user. A plurality of auditory queries may be rendered. Each auditory query may comprise sound data corresponding to a non-verbal query. Each auditory query may be associated with one or more of the plurality of query pages. A plurality of selections may be received from the user. Each selection may identify a non-verbal answer from a query page. An assessment may be generated. The assessment may identify a user's risk of dyslexia based on the plurality of selections and timing data that indicates how much time the user took to make each of the plurality of selections.