Hearing Device Fitting via Personality Profile Matching
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Solution Overview
Problem
Current hearing device fitting methods do not adequately account for a wide range of individual characteristics, such as behavioral, audiologic, visual, and psychological traits, limiting the customization and effectiveness of the device in enhancing acoustic perception.
Innovation Solution
A method that registers and evaluates individual characteristics to create a personality profile, which is used to automatically select and manufacture a hearing device tailored to the individual's specific needs, incorporating behavioral observations, interviews, and data encoding to generate a personalized fitting vector for optimal signal transfer characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional fitting methods are used, then the fitting process is simple and quick, but individual characteristics are not adequately considered
Solution Approach 1:
The patent applies preliminary action by pre-defining personality profiles with associated fitting parameters before the actual fitting process. During fitting, the system only needs to identify which pre-defined profile matches the individual's characteristics, then automatically apply the corresponding parameters. This transforms a complex multi-parameter adjustment process into a simpler profile-matching process, resolving the contradiction between comprehensive individualization and process simplicity.
2Manufacturing precision
If manual fitting by expert is performed, then professional judgment is applied, but time-consuming and less consistent
Solution Approach 1:
The patent replaces the manual mechanical process of expert fitting with an automated computer-based system. The fitting machine automatically captures individual characteristics, matches them to personality profiles, and applies fitting parameters without manual intervention. This substitution ensures consistent application of fitting parameters across different individuals while significantly reducing the time required, as the automated system processes data faster and more uniformly than manual expert assessment.
3Adaptability or versatility
If comprehensive characteristics are registered, then personalized fitting is achieved, but data processing complexity increases
Solution Approach 1:
The patent segments the comprehensive individual characteristics into distinct categories (behavioral observations, interview data, audiological measurements, visual characteristics) and processes each segment separately. Each category is evaluated independently against specific criteria to determine personality profile components. This segmentation reduces the complexity of processing comprehensive data by breaking it into manageable segments that can be processed through standardized evaluation routines, ultimately combining results to achieve personalized fitting.
Data Source
AI summary
In a method for manufacturing a hearing device, by registering characteristics of an individual (I) a personality vector (K(CI)) is established in a fitting machine. The personality vector (K(CI)) of the individual (I) momentarily involved is compared with stored personality vectors (K1(C) to Kn(C)). That stored personality vector which is most similar to that of the individual (I) is selected and therefrom a personality profile (PP) which is assigned to such personality vector. There is assigned to the personality profile which accords to the most similar personality vector, a respective fitting vector which controls subsequent manufacturing of the hearing device.