Hearing Aid Adjustment via Context-Aware Sound Suggestions
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Solution Overview
Problem
Current hearing auxiliary devices require professional assistance for adjustments, which is time-consuming and inefficient, as users struggle to find suitable settings for their personal auditory needs.
Innovation Solution
An adjustment method utilizing a context awareness platform that collects activity and emotional information, along with scene information, to provide sound adjustment suggestions, allowing users to adjust their hearing auxiliary devices without professional help, by determining user responses and iteratively refining settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If professional assistance is used for adjusting hearing auxiliary devices, then the adjustment accuracy and reliability are improved, but the time consumption and operational complexity increase
Solution Approach 1:
The system enables users to independently adjust hearing auxiliary devices through automated context awareness and sound adjustment suggestions. The context awareness platform collects activity, emotion, and scene information to generate personalized sound adjustments without requiring professional assistance, allowing users to self-service their hearing device adjustments.
Solution Approach 2:
The system dynamically adjusts sound parameters based on collected context information including activity type, emotional state, and environmental scene. By changing sound parameters automatically according to these parameters, the system achieves professional-level adjustment accuracy while eliminating the need for user expertise or professional intervention.
2Loss of time
If users independently adjust hearing auxiliary devices using traditional methods, then the time consumption is reduced, but the adjustment accuracy and user satisfaction deteriorate
Solution Approach 1:
The system implements a feedback mechanism where user responses to sound adjustments are collected and used to refine future adjustments. The context awareness platform continuously monitors user reactions and adjusts sound parameters accordingly, ensuring high adjustment accuracy while maintaining quick, independent user control without requiring professional intervention.
Solution Approach 2:
Users can independently perform adjustments by providing feedback on their auditory responses. The system processes this feedback automatically and makes subsequent adjustments without requiring users to learn complex adjustment procedures or seek professional help, combining speed with accuracy.
3Device complexity
If traditional adjustment methods are used, then the device complexity is reduced, but the adaptability to individual user needs and environments deteriorates
Solution Approach 1:
The system performs preliminary actions by proactively collecting context information including activity type, emotional state, and environmental scene before sound adjustments are needed. This advance data collection enables the system to automatically generate appropriate sound adjustments without requiring complex user input or manual configuration, maintaining simplicity while achieving high adaptability.
Solution Approach 2:
The context awareness platform automatically adapts sound settings to individual user needs by analyzing collected context information. Users simply need to provide basic feedback on their auditory responses, and the system handles the complex adaptation process autonomously, maintaining device simplicity while achieving personalized adaptability.
4Adaptability or versatility
If users spend time learning parameter adjustments, then the adaptability to personal hearing needs is improved, but the time consumption and operational complexity increase
Solution Approach 1:
The system performs personalized hearing adjustments automatically based on context awareness data. Users only need to provide simple feedback on whether the sound adjustment meets their expectations, eliminating the need to learn complex parameter adjustments while still achieving highly personalized hearing optimization.
Solution Approach 2:
The system automatically changes multiple sound parameters simultaneously based on analyzed context information including activity, emotion, and scene. This automated parameter adjustment achieves personalized hearing adaptation without requiring users to understand or manually adjust individual parameters, maintaining operational simplicity.
Data Source
AI summary
An adjustment method of a hearing auxiliary device includes steps of (a) providing a context awareness platform and a hearing auxiliary device, (b) acquiring an activity and emotion information and inputting the activity and emotion information to the context awareness platform, (c) acquiring a scene information and inputting the scene information to the context awareness platform, (d) obtaining a sound adjustment suggestion according to the activity and emotional information and the scene information, (e) determining whether a response of a user to the sound adjustment suggestion meets expectation, and (f) when the judgment result of the step (e) is TRUE, transmitting the sound adjustment suggestion to the hearing auxiliary device and adjusting the hearing auxiliary device according to the sound adjustment suggestion. Therefore, the hearing auxiliary device can be appropriately adjusted to meet the demands and correctly and effectively adjusted without any assistance of a professional.