Dynamic Digital Avatar With AI Feedback for Real-Time Human Interaction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing virtual avatars lack the ability to provide real-time, lifelike interactions that mimic human responses to specific human inputs, often appearing robotic and lacking appropriate gestures or expressions.
Innovation Solution
A system integrating AI components such as speech recognition, speech synthesis, large language models, and computer vision to create a dynamic avatar that reacts in real-time to inputs from multiple environments, providing realistic and intuitive interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If virtual avatars use random mimicry of human expressions or reactions, then some level of interactivity is achieved, but the responses appear robotic and lack appropriate human gestures or expressions
Solution Approach 1:
The system implements feedback loops where the avatar continuously monitors user inputs through speech recognition and computer vision, processes them through large language models to understand context and intent, and generates appropriate responses with corresponding gestures and expressions. This closed-loop feedback mechanism ensures responses are contextually appropriate rather than random, resolving the contradiction between interactivity and realism.
Solution Approach 2:
The patent replaces simple mechanical or pre-programmed response systems with advanced AI components including large language models, speech recognition, and computer vision. These AI systems analyze user inputs and generate nuanced, context-aware responses with appropriate non-verbal cues, transforming robotic interactions into lifelike human-like engagements.
2Reliability
If the system integrates multiple AI components (speech recognition, speech synthesis, large language models, computer vision), then the realism and interactivity of avatar interactions are enhanced, but the device complexity increases
Solution Approach 1:
The patent merges multiple AI components including speech recognition, speech synthesis, large language models, and computer vision into a unified avatar system. These components work synergistically rather than independently, with the large language model serving as a central coordinator that integrates inputs from speech and vision systems to generate coherent responses with appropriate gestures and expressions, thereby managing complexity through integration.
Solution Approach 2:
The large language model serves as a universal processing core that handles multiple functions: interpreting speech inputs, analyzing visual data, generating text responses, and coordinating avatar gestures and expressions. This multi-functional approach reduces overall system complexity by using a single versatile AI component rather than separate specialized systems for each function.
Data Source
AI summary
Systems, methods, apparatuses, and computer program products for a shared preamble set for human-computer interactions and dynamic avatar. A method may include receiving an input from a real world environment. The method may also include integrating the input into a virtual world environment. The method may further include generating an output based on the integration of the input into the virtual environment. The output may include data or discrete events that represent information about the real world environment or the virtual world environment. The method may also include displaying the output via display device, and receiving interactive data in response to an interaction with the output.