Human-AI interaction system using generative intelligence

Abstract

A human-AI interaction system using generative intelligence, comprising: a sensor acquisition unit configured to acquire multimodal input data, including at least audio signals, visual data, and environmental parameters from a user and their environment; a preprocessing processor operationally coupled to the sensor acquisition unit and configured to perform signal conditioning, noise reduction, normalization, and feature extraction on the acquired multimodal input data; and a context aggregation unit operationally coupled to the preprocessing processor and configured to combine heterogeneous data streams into a unified context data structure that includes temporal attributes, spatial attributes, semantic attributes, and behavioral indicators.a user state determination processor that is operationally coupled with the context aggregation unit and configured to compute at least the user intent, emotional state, and interaction preference using trained machine learning models and historical interaction datasets; a generative response processor that is operationally coupled with the user state determination processor and the context aggregation unit, wherein the generative response processor is configured to produce one or more output representations, including text output, synthesized speech, visual content, or tactile signals, based on the unified context data structure and the computed user state;an output playback unit configured to output the generated output representations via at least one of the following interfaces: a display interface, an audio output interface, or a haptic interface; a coordination processor configured to manage the data flow and distribute computational tasks between the preprocessing processor, the context aggregation unit, the user state determination processor, and the generative response processor; and a communication interface configured to enable data exchange between an edge computing environment and a remote computing environment, the system being configured to dynamically adapt interaction responses to the continuous updating of context data and user state.