AI-Driven Hearing Aid Adjustment via User Feedback
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Solution Overview
Problem
Current hearing aid adjustment methods require users to visit a hearing professional, which is inconvenient and inaccessible for those with limited mobility or in remote areas, and automated solutions often override individual hearing experiences.
Innovation Solution
A system using artificial intelligence algorithms that incorporate user-specific data, such as audiograms and acoustic fingerprints, to allow users to autonomously adjust their hearing aids in real-time, based on their perceived needs and preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If automated solutions using machine learning algorithms are used to adjust hearing aid parameters, then the need for face-to-face visits to hearing professionals is reduced, but the user's individual perceived hearing experience is overridden
Solution Approach 1:
The system enables users to autonomously adjust their own hearing aid parameters through a mobile application without requiring professional intervention. The AI algorithm processes user feedback and automatically modifies settings, allowing the device to serve itself and its user simultaneously.
Solution Approach 2:
The system continuously collects feedback from users about their perceived hearing experience and uses this feedback to refine and personalize the AI algorithm's adjustments. This creates a closed-loop system where user experience directly influences parameter optimization.
2Ease of operation
If remote access solutions are used to allow hearing professionals to adjust parameters remotely, then accessibility is improved, but the solution is not available when the professional is unavailable
Solution Approach 1:
The system transfers the adjustment capability from the hearing professional to the user through an AI-powered mobile application. Users can initiate and complete parameter adjustments independently at any time without scheduling appointments or waiting for professional availability.
Solution Approach 2:
An AI algorithm acts as an intermediary between the user and the hearing aid parameters. The AI processes user feedback and automatically adjusts settings, replacing the need for direct professional intervention while maintaining appropriate oversight.
3Adaptability or versatility
If traditional in-person adjustment methods are used with hearing professionals, then personalized adjustment based on individual hearing experience is achieved, but convenience and accessibility are reduced
Solution Approach 1:
Users independently control the adjustment process through a mobile application, eliminating the need to travel to professional offices. The system maintains personalization by continuously adapting to user feedback while providing the convenience of home-based adjustment.
Solution Approach 2:
The patent replaces the mechanical system of in-person professional adjustment with an electronic/software-based system using mobile applications and AI algorithms. This substitution maintains personalization capabilities while dramatically improving convenience and accessibility.
Data Source
AI summary
According to some embodiments, there is provided a method for personalized hearing aid adjustment, the method including receiving a user-initiated input regarding a perceived deficiency in the user's hearing experience, providing to the user, using a detection algorithm, a suggestion regarding an issue potentially related to the perceived deficiency in the user's hearing experience, receiving from the user a second user input regarding the relevancy of the suggested issue; wherein when the second user input is indicative of the suggested issue being relevant to the perceived deficiency in the user's hearing experience, providing a suggested solution to the perceived deficiency utilizing a solution algorithm, wherein the suggested solution comprises adjusting one or more parameters of the hearing aid.