AI OS Core Component for Intent Understanding

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Solution Overview

Problem

Existing AI systems struggle to integrate effectively into operating systems due to limitations in delivery, intention understanding, and human-oriented interface comprehension, resulting in inefficient and robotic interactions.

Innovation Solution

An AI-powered operating system with a core component that enables real-time, multimedia interactions across various interfaces and a cloud infrastructure that supports hundreds of AI systems interacting with users and web/physical services through imitation.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If existing AI systems are integrated into operating systems, then user interaction capabilities are enhanced, but the system complexity and integration difficulty increase significantly

Engineering Contradiction:

Improveuser interaction capabilitiesVSAvoidsystem integration complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent segments the AI system into distinct functional modules including a core component for natural language processing, an agent for intent understanding, and a cloud infrastructure for support. This modular architecture allows each component to be developed, deployed, and maintained independently, reducing overall system integration complexity while preserving enhanced user interaction capabilities.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent introduces an intermediary layer between the AI system and the operating system, consisting of standardized interfaces and protocols. This intermediary enables seamless integration without requiring deep modifications to either the AI system or the OS, thereby reducing integration complexity while maintaining versatility.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Ease of manufacture

If traditional text-first interfaces are used for AI delivery, then implementation simplicity is maintained, but user experience quality and interaction efficiency deteriorate

Engineering Contradiction:

Improveimplementation simplicityVSAvoiduser experience quality

Core Design Contradiction:

Ease of manufactureVSEase of operation

Solution Approach 1:

The patent implements a multi-functional interface system that handles text, voice, and multimedia inputs through a unified architecture. The core component processes different input types using the same natural language understanding engine, maintaining implementation simplicity while dramatically improving user experience quality by supporting diverse interaction modes.

Inventive Principle:

Principle #6Universality (Multi-functionality)

3Device complexity

If existing AI systems operate without intention understanding, then system simplicity is preserved, but interaction effectiveness and task completion capability deteriorate

Engineering Contradiction:

Improvesystem simplicityVSAvoidinteraction effectiveness

Core Design Contradiction:

Device complexityVSProductivity

Solution Approach 1:

The patent implements preliminary intention understanding through the agent component, which analyzes user intent before executing tasks. The agent decomposes complex intentions into actionable steps and identifies required services in advance, significantly improving interaction effectiveness while adding only moderate complexity through a dedicated analysis layer.

Inventive Principle:

Principle #10Preliminary action

4Device complexity

If AI systems lack human-oriented interface comprehension, then development complexity is reduced, but interaction naturalness and user satisfaction deteriorate

Engineering Contradiction:

Improvedevelopment complexityVSAvoidinteraction naturalness

Core Design Contradiction:

Device complexityVSEase of operation

Solution Approach 1:

The patent employs copying of human interaction patterns by training the AI system on extensive human-computer interaction data. The agent learns natural interface comprehension by copying and analyzing human behavior patterns, achieving high interaction naturalness while keeping development complexity manageable through data-driven learning rather than manual programming of every interaction scenario.

Inventive Principle:

Principle #26Copying

Data Source

PatentUS20250104712A1System and method of facilitating human interactions with products and services over a network

Publication Date: 2025.03.27 RABBIT INC

AI summary

A computer-implemented method of interacting with a computer application through a user interface is disclosed. The method includes determining if the computer application is in a state ready to be observed, reasoned, and interacted with; identifying an element in the computer application to interact with; and determining an action to use on the identified element and information required to execute the action; wherein identifying the element in the computer application to interact with includes extracting and storing one of more features of a reference element from a reference document object model (DOM); and given a target DOM, finding the element in the target DOM that corresponding to the reference element.