AI Conversation Assistance for Cognitively Impaired Users
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Solution Overview
Problem
Individuals with cognitive disabilities face challenges in expressing themselves, understanding information, and engaging in effective communication due to conditions affecting cognitive functions such as memory, attention, and language skills, which existing technologies fail to adequately address.
Innovation Solution
A device and system utilizing a wearable ear-worn device with a microphone, transmitter, receiver, and speaker, connected to a cloud-hosted Machine Learning model, to assist users by generating voice-based responses to conversations, providing reminders, and answering general queries.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional communication methods are used by individuals with cognitive disabilities, then they can maintain simplicity in interaction, but their ability to effectively express themselves and understand information deteriorates due to limitations in memory, attention, and language skills
Solution Approach 1:
The patent introduces an AI-based intermediary system that mediates between individuals with cognitive disabilities and communication partners. The system includes a language model that processes the individual's fragmented or difficult-to-articulate inputs and generates coherent, contextually appropriate responses. This intermediary bridges the gap by translating cognitive limitations into effective communication without requiring the individual to overcome their inherent challenges directly.
Solution Approach 2:
The system provides self-service by automatically generating response suggestions and communication aids without requiring external assistance. The AI model continuously monitors the conversation context and proactively offers response options tailored to the individual's needs, enabling them to independently navigate communication challenges related to memory, attention, and language formulation.
2Reliability
If AI-based assistance systems are implemented to improve communication for cognitively impaired users, then communication effectiveness and response generation improve, but device complexity and system requirements increase
Solution Approach 1:
The patent implements a universal AI communication assistant that can serve multiple functions within a single system. The language model handles various communication tasks including generating response suggestions, providing context retrieval, facilitating turn-taking in conversations, and adapting to different communication partners. This multi-functionality reduces the need for separate specialized systems while maintaining comprehensive support for individuals with cognitive disabilities.
Solution Approach 2:
The system dynamically adjusts parameters such as response complexity, level of assistance, and conversation pacing based on the individual's cognitive state and communication context. By changing these parameters in real-time, the system optimizes communication effectiveness without requiring a completely different system configuration, thereby managing complexity through adaptive parameter tuning rather than structural changes.
Data Source
AI summary
In an embodiment, the disclosure relates to a device for assisting a respondent in a conversation. The device includes a microphone configured to detect a voice input, and a transmitter communicatively coupled to a server and configured to transmit the voice input to the server. The server is to generate vectors associated with the voice input, feed the vectors associated with the voice input to an Artificial Intelligence utilizing a trained Machine Learning (ML) model, and obtain, from the trained ML model, an output corresponding to the vectors. The device further includes a receiver communicatively coupled to the server, and configured to receive from the server, the output generated by the ML model. A speaker is communicatively coupled with the receiver and is configured to generate a voice-based response based on the output, for assisting the respondent in responding to the conversation.