Spatial-Textual Screen Context for Natural Language Command Translation

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Solution Overview

Problem

Current human-computer interaction systems struggle to translate complex natural language instructions into executable commands, particularly for individuals with disabilities, due to limitations in understanding context and spatially-oriented instructions.

Innovation Solution

A novel system that utilizes spatial-textual screen context (STSC) to convert natural language instructions into system input and output commands by integrating advanced computer vision and language processing technologies.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If traditional input methods (keyboard, mouse, basic voice commands) are used, then general computing needs are met, but accessibility for individuals with disabilities is poor and complex natural language instructions cannot be processed

Engineering Contradiction:

Improveaccessibility for individuals with disabilitiesVSAvoidoperation difficulty for disabled users

Core Design Contradiction:

Adaptability or versatilityVSEase of operation

Solution Approach 1:

The patent replaces traditional mechanical input devices (keyboard, mouse) with a vision-based natural language processing system. The system uses computer vision to capture screen content and processes natural language instructions through AI models, substituting physical interaction mechanisms with cognitive processing that better serves users with disabilities.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent introduces an intermediary system consisting of computer vision modules and language processing models that mediate between the user's natural language input and the system's command execution. This intermediary layer translates spoken or written instructions into actionable commands, bridging the gap between human communication and machine operation.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Productivity

If basic voice command systems are used, then simple commands can be executed, but nuanced or complex commands are misunderstood and spatially-oriented instructions cannot be interpreted

Engineering Contradiction:

Improvecommand execution capabilityVSAvoidaccuracy in understanding complex instructions

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The patent adds spatial dimension to voice command processing by integrating computer vision data with language processing. The system doesn't just process auditory input but combines it with visual information about screen layout, element positions, and contextual spatial relationships, enabling accurate interpretation of spatially-oriented instructions.

Inventive Principle:

Principle #17Another dimension (Dimensionality change)

Solution Approach 2:

The patent creates a composite processing system that combines multiple types of data (visual screen content, auditory voice commands, textual context) and processes them together through integrated AI models. This composite approach allows the system to understand complex instructions by synthesizing information from multiple sources rather than relying on a single input modality.

Inventive Principle:

Principle #40Composite materials

3Productivity

If AI systems are limited to specific tasks with predefined parameters, then narrow domain functionality is achieved, but adaptability and versatility for comprehensive human-computer interaction are insufficient

Engineering Contradiction:

Improvetask execution efficiencyVSAvoidrange of applicable tasks

Core Design Contradiction:

ProductivityVSAdaptability or versatility

Solution Approach 1:

The patent implements a universal AI system that can perform multiple functions through a single integrated architecture. The system handles diverse tasks including natural language interpretation, spatial reasoning, screen content analysis, and command generation, replacing the need for multiple specialized systems with one versatile platform that adapts to various interaction scenarios.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS20250173147A1Method to Translate Natural Language Instructions into System I/O Commands Using Spatial-Textual Screen Context (STSC)

Publication Date: 2025.05.29 WANG SHAOHENG

AI summary

The present invention relates to a computer-implemented system for translating natural language instructions into precise input and output (I/O) commands. The innovative system integrates a computer vision module that captures and analyzes visual elements from a user interface with a high-performance language model that interprets the elements to generate contextually relevant action descriptions. The descriptions are refined by integrating specific screen coordinates, ensuring accuracy and precision in the resulting instructions. The refined instructions are then converted into actionable I/O commands, allowing intuitive interaction with the device through natural language input. The method significantly enhances human-computer interaction, especially for individuals with disabilities by enabling efficient control through natural language. It represents a significant advancement in artificial general intelligence by converting complex linguistic instructions into concrete system actions with broad potential applications across various technological fields.