Hearing Device Fitting Using AI Interpretation of User Feedback
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The communication challenges between hearing care professionals and users during the fitting and fine-tuning of hearing devices are significant, often relying on labor-intensive retrospective methods that do not accurately reflect user perspectives, leading to inefficient and unsatisfactory adjustments.
Innovation Solution
A method utilizing a machine learning algorithm to translate user-generated text into problem diagnosis texts and fitting solutions, enabling iterative optimization of hearing device settings based on user feedback, facilitated by a hearing system comprising a hearing device, mobile device, and server, which can automatically apply suggested adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If retrospective questionnaires or interviews are used to collect user feedback, then user perspectives can be obtained, but the process becomes labor intensive and generates limited data points
Solution Approach 1:
The patent replaces manual data collection methods (interviews and questionnaires) with automated speech recognition and natural language processing systems. The hearing device captures audio data continuously, automatically transcribes user speech about listening experiences, and processes this data through AI algorithms to generate fitting recommendations, eliminating the need for labor-intensive manual data collection while significantly increasing data volume and quality
Solution Approach 2:
The system enables users to independently provide feedback through natural conversation during daily wear. Users simply speak about their listening experiences, and the automated system processes this feedback, generates problem diagnoses, and provides fitting solutions without requiring professional intervention for data collection, making the process self-service oriented and highly efficient
2Manufacturing precision
If hearing care professionals interpret user feedback in real time and make adjustments, then fitting can be optimized, but the process requires extensive expert knowledge and trial-and-error iterations
Solution Approach 1:
The patent introduces an AI-based natural language processing system as an intermediary between user feedback and fitting adjustments. This intermediary automatically transcribes user speech, identifies listening problems, diagnoses fitting issues, and generates recommended adjustments, serving as a bridge that translates casual user comments into structured fitting parameters without requiring professional interpretation, thereby simplifying the overall process while maintaining high accuracy
Solution Approach 2:
The system implements continuous feedback loops where user speech is captured in real-time, processed through speech recognition, analyzed by AI algorithms to identify problems, and used to generate immediate fitting recommendations. This automated feedback mechanism eliminates trial-and-error iterations by directly connecting user experiences to precise fitting adjustments based on analyzed speech patterns and contextual information
3Loss of information
If users describe listening difficulties in their own words, then authentic user perspectives are captured, but the language gap between users and professionals creates interpretation challenges
Solution Approach 1:
The patent replaces human language interpretation with automated natural language processing and speech recognition systems. These systems transcribe user speech accurately, analyze the semantic content to identify specific listening problems, and map user descriptions directly to technical fitting parameters, eliminating the language gap and interpretation challenges while preserving the authenticity of user perspectives
Solution Approach 2:
The AI-based natural language processing system acts as an intermediary that bridges the language gap between users and fitting adjustments. It translates casual user descriptions into structured problem diagnoses and fitting recommendations, maintaining user perspective authenticity while eliminating the need for professional interpretation of colloquial language
Data Source
AI summary
A method includes providing processed sound to a user wearing a hearing device, wherein the hearing device receives environmental sound from an environment of the user, processes the environmental sound with a fitting into the processed sound and outputs the processed sound to the user, wherein the fitting comprises sound processing parameters, which are adapted to needs of the user; receiving, via a user interface, a user text, input by the user, to indicate a problem of the user with the hearing device; and determining a problem diagnosis text and/or a fitting solution from the user text.