Communication Prosthetic Using AI Avatars for Neurodiversity
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Solution Overview
Problem
Individuals with neurodiversity and language barriers face challenges in understanding non-verbal cues and verbal communication, leading to difficulties in effective conversation.
Innovation Solution
A communication prosthetic system utilizing a trained artificial intelligence model that analyzes video and audio inputs from multiple users, providing avatars to facilitate communication by monitoring and interpreting non-verbal cues, and offering notifications or translations to enhance understanding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a communication prosthetic system uses AI to analyze non-verbal cues and provide real-time notifications, then communication clarity and understanding are improved, but system complexity and computational requirements increase
Solution Approach 1:
The patent introduces an avatar as an intermediary that mediates between users with different communication styles. The avatar analyzes non-verbal cues, determines user states (confusion, boredom, engagement), and provides notifications to the other party, serving as a bridge that translates between different communication modalities without requiring direct complex interaction between the original users
Solution Approach 2:
The system implements continuous feedback loops where the AI model monitors video and audio inputs in real-time, detects non-verbal cues, determines user states, and provides notifications. This feedback mechanism allows the system to adapt dynamically during conversations, improving communication clarity by continuously adjusting based on observed user responses
2Measurement precision
If the system monitors and analyzes video and audio feeds in real-time using AI models, then understanding of non-verbal cues is enhanced, but processing time and computational resources increase
Solution Approach 1:
The system performs preliminary analysis of video and audio feeds by continuously monitoring for non-verbal cues before full processing is required. The AI model is trained to recognize patterns and detect user states (confusion, boredom, engagement) in advance, allowing for faster real-time response during actual conversations without requiring extensive processing delays
3Reliability
If the communication interface includes avatars and notifications for all users, then communication effectiveness is improved, but ease of operation decreases due to interface complexity
Solution Approach 1:
The patent applies local quality by providing customized communication interfaces tailored to each user's specific needs and preferences. Each user can configure which non-verbal cues they want to monitor and how they want to be notified, allowing the interface to be simple for users who only need basic features while providing advanced options for those who need more comprehensive analysis
Data Source
AI summary
A system includes a computing system that includes a network interface coupled to a processing circuit configured to receive a first input feed from a first user device and a second input feed from a second user device and to provide a first communication interface to the first user via the first user device and a second communication interface to the second user via the second user device. The first communication interface comprises video of the second user and a second user avatar. The second communication interface comprises video of the first user and a first user avatar. The processing circuit further monitors the input feeds, analyzes the first input feed using an artificial intelligence model to identify a condition of the first user, and provides the second user a notification via the first user avatar regarding the first user based on the condition of the first user.