AI Hearing Aid Adjustment Using User Feedback Loops
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Solution Overview
Problem
Users of hearing aids face inconvenience and limited accessibility in adjusting their devices due to the need for professional assistance, especially for those with limited mobility or in remote areas, as existing automated solutions often override individual hearing experiences and require professional availability.
Innovation Solution
A system utilizing artificial intelligence algorithms that incorporate user-specific data, such as audiograms and acoustic fingerprints, to enable users to autonomously adjust their hearing aids in real-time, allowing for personalized adjustments based on perceived deficiencies in hearing experiences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If automated machine learning algorithms are applied to adjust hearing aid parameters, then the need for face-to-face visits is reduced, but the user's individual hearing experience is overridden
Solution Approach 1:
The system incorporates user feedback loops where users can report perceived deficiencies in their hearing experience. The AI algorithm processes this feedback and generates adjusted parameter suggestions, which are then validated against user responses to ensure they actually improve the hearing experience. This feedback mechanism ensures automation does not override individual user needs.
Solution Approach 2:
The system enables users to autonomously initiate parameter adjustments by reporting their own hearing experiences. The AI algorithm serves the user's individual needs without requiring external professional intervention, allowing users to self-adjust their hearing aids based on their personal perceptions and experiences.
2Reliability
If remote access solutions are implemented, then professional availability is improved, but accessibility at the exact time of need is limited
Solution Approach 1:
The system transitions from professional-service models to user self-service models. Users can autonomously report hearing deficiencies and receive AI-generated parameter adjustments without needing to contact or wait for professional availability. This eliminates waiting time while maintaining adjustment quality through AI validation against user feedback.
Solution Approach 2:
The AI algorithm is pre-trained with expert knowledge and hearing science principles during development. This preliminary preparation allows the system to immediately generate appropriate parameter adjustments when users report issues, without requiring real-time professional intervention or waiting for professional availability.
3Reliability
If traditional in-office adjustments are performed, then professional guidance is ensured, but user convenience and accessibility are reduced
Solution Approach 1:
The system replaces the mechanical system of in-person professional visits with an AI-based digital system. The AI algorithm, trained on expert knowledge and hearing science data, delivers professional-quality guidance through digital communication channels, eliminating the need for physical travel while maintaining adjustment quality.
Solution Approach 2:
The AI algorithm acts as an intermediary between professional expertise and user needs. It translates complex hearing science knowledge into personalized parameter adjustments based on user feedback, bridging the gap between professional guidance quality and user convenience without requiring direct professional-user interaction.
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.