Cross-Device Voice Control via HID Emulation and AI Routing
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Solution Overview
Problem
Existing voice-based assistant systems face challenges in controlling multiple applications across different devices due to compatibility issues, security restrictions, and limited integration, leading to inconsistent user experiences and workflow disruptions.
Innovation Solution
A system and method for cross-device application control using voice commands that incorporate contextual information and utilize a remote AI model to execute actions on behalf of the user, employing HID emulation to bypass security restrictions and ensure seamless interaction across devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a unified AI assistant is implemented to control multiple applications across different devices, then cross-device control capability is improved, but security restrictions and access authorization challenges worsen
Solution Approach 1:
The patent introduces an intermediary authorization system that mediates between the AI assistant and target applications. The routing application acts as a mediator that receives AI responses, determines appropriate target applications, and manages access authorization. This intermediary layer enables cross-device control while maintaining security by verifying authorization before allowing the AI assistant to interact with protected applications.
2Extent of automation
If the AI assistant is integrated into dedicated apps, then AI assistance functionality is improved, but workflow disruption and user convenience worsen
Solution Approach 1:
The patent implements a self-service mechanism where the AI assistant operates autonomously within the background without requiring users to switch to dedicated AI apps. The system automatically captures user requests from any application, processes them through the AI model, and executes actions in the target applications. This allows users to receive AI assistance while continuing their workflow in their current applications, eliminating the need to leave their work context.
3Adaptability or versatility
If cross-platform integration is implemented to allow apps on one device to control apps on another device platform, then interoperability is improved, but system complexity and integration challenges worsen
Solution Approach 1:
The patent implements a universal routing application that functions across multiple device platforms (iOS, Android, Windows, macOS). The routing application serves multiple functions: capturing user requests, communicating with the AI model, determining target applications, managing authorization, and executing actions. This multi-functional universal application reduces system complexity by providing a single cross-platform solution rather than requiring separate integration mechanisms for each platform combination.
4Measurement precision
If the AI model processes all user requests centrally, then response accuracy and contextual understanding are improved, but response time and processing latency worsen
Solution Approach 1:
The patent segments the AI assistance system into distributed components: local routing applications on each device that handle request capture and initial processing, cloud-based AI models that provide centralized intelligence, and local execution components that implement actions. This segmentation allows the system to leverage centralized AI processing for accurate responses while reducing latency through local preprocessing and postprocessing, eliminating the need to transmit all data to the cloud.
Data Source
AI summary
A system and method for cross-device application control employs peripheral devices that emulate standardized human interface device (HID) protocols to control host devices without the need for operating system level access. The system processes voice commands through a routing application on a host device and transmits them with contextual information to a cloud-based AI model. When access authorization exists, the AI-generated response is directly executed; otherwise, it's reformatted according to HID specifications and transmitted through an emulated keyboard interface. This technique establishes authorized communication channels to otherwise inaccessible applications, enabling cross-platform control without specialized integration. The system collects context from both host devices and target applications to enhance response accuracy, with implementations for context processing including device-based integration and unified cloud processing.