Multi-Device Agent Companion Framework for Coordinated Output
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Solution Overview
Problem
Existing computing devices in a user's environment lack interconnectivity, leading to underutilization of their capabilities for input and output interactions.
Innovation Solution
A multi-device framework that leverages environment-based prompt generation and generative models to optimize output delivery across multiple computing devices, considering their capabilities and configurations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple computing devices are deployed in a user environment, then device capabilities and output quality are improved, but device interconnectivity and coordinated utilization deteriorate
Solution Approach 1:
The patent merges multiple computing devices into a unified multi-device system where devices communicate through standardized protocols. The system combines audio, visual, and haptic capabilities across devices to create coordinated output experiences, resolving the contradiction by enabling interconnectivity while preserving individual device capabilities.
Solution Approach 2:
The patent implements universal communication protocols and interfaces that enable different device types (audio devices, display devices, haptic devices) to function within a unified framework. This multi-functionality approach allows the system to leverage diverse device capabilities while maintaining simple interconnection through standardized methods.
2Productivity
If environment data and device information are processed centrally, then output optimization and quality are improved, but data processing complexity increases
Solution Approach 1:
The patent introduces an intermediary processing layer that receives environment data and device information, then translates this into optimized output configurations. This mediator approach simplifies the overall system by centralizing complex data processing logic in a dedicated component rather than distributing it across all devices.
Solution Approach 2:
The patent performs preliminary processing of environment data and device capabilities before actual output generation. By pre-processing and caching device information, the system optimizes real-time output delivery without repeating complex analysis for each output event, thus improving productivity while managing processing complexity.
3Adaptability or versatility
If diverse output formats are generated for different devices, then output quality and device utilization are improved, but system complexity increases
Solution Approach 1:
The patent applies local quality by tailoring output formats specifically to each device type's capabilities. Audio devices receive optimized audio formats, display devices receive visual formats, and haptic devices receive vibration patterns. This targeted approach maximizes output quality for each device while the standardized framework keeps overall system complexity manageable.
Data Source
AI summary
Systems and methods for generating and providing outputs in a multi-device system can include leveraging environment-based prompt generation and generative model response generation to provide dynamic response generation and display. The systems and methods can obtain input data associated with one or more computing devices within an environment, can obtain environment data descriptive of the plurality of computing devices within the environment, and can generate a prompt based on the input data and environment data. The prompt can be processed with a generative model to generate a model-generated output. The model-generated output can then be transmitted to a particular computing device of the plurality of computing devices.