Hearing Prosthesis Automated Assistant for Personalized Adjustment
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Solution Overview
Problem
Current hearing prostheses, such as cochlear implants, lack an efficient method for personalized adjustment and troubleshooting, leading to suboptimal performance and user dissatisfaction.
Innovation Solution
An automated assistant system integrated into computing devices that receives user input, interprets intent, identifies tasks, and provides solutions or warnings, utilizing a dialog flow processor and action orchestration components to customize and optimize hearing prosthesis settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If hearing prostheses use conventional adjustment methods, then device simplicity is maintained, but customization precision and user satisfaction deteriorate
Solution Approach 1:
An automated assistant system serves as an intermediary between the user and the hearing prosthesis adjustment process. This mediator interprets user needs, translates them into technical parameters, and coordinates with the prosthesis device to implement precise customization without requiring complex user interaction with the device itself.
Solution Approach 2:
The hearing prosthesis system enables self-service through the automated assistant, which autonomously analyzes user feedback, determines appropriate adjustments, and configures device parameters without requiring professional intervention. This maintains precision while simplifying the user experience.
2Reliability
If hearing prostheses lack automated troubleshooting, then device complexity is reduced, but user satisfaction and performance optimization deteriorate
Solution Approach 1:
The automated assistant implements a feedback loop where user input about hearing experiences is continuously analyzed, and adjustments are made to prosthesis parameters. This feedback mechanism enables ongoing performance optimization and troubleshooting while maintaining a simple interface for users.
Solution Approach 2:
The system performs preliminary diagnostic actions by analyzing user input patterns and predicting potential issues before they affect performance. This proactive approach to troubleshooting optimizes reliability while managing complexity through automated prediction and prevention.
3Ease of operation
If personalized adjustment processes are implemented, then user satisfaction improves, but time consumption and operational complexity increase
Solution Approach 1:
The system replaces manual, time-consuming mechanical adjustment processes with automated computational analysis and parameter optimization. The automated assistant processes user feedback and determines optimal settings computationally, dramatically reducing the time required for personalized adjustment while improving ease of operation.
Data Source
AI summary
A method, including implementing a hearing prosthesis automated assistant on one or more computing devices having one or more processors and memory, the method including, at the one or more computing devices, at an input device, receiving hearing prosthesis recipient input, the input invoking the automated assistant, the input being indicative of a problem associated with a hearing prosthesis of the recipient, interpreting the received recipient input to derive a representation of recipient intent, identifying at least one task based at least in part on the derived representation of user intent, and causing a first output to be provided, the first output providing an attempted solution to the problem.