Hub Device Orchestrating Multi-Device Content Layouts
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Solution Overview
Problem
Information handling systems face challenges in dynamically managing the display of multiple applications across different devices with varying capabilities and configurations, especially in multi-user and multi-environment scenarios, where user preferences and device contexts need to be considered for optimal content presentation.
Innovation Solution
A hub device uses machine learning algorithms to determine the most suitable devices for displaying content components and adjusts display layouts based on user and device contexts, including location, preferences, and capabilities, enabling seamless migration of applications and input/output configurations across different environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple applications are displayed simultaneously on a device, then each application can be viewed, but the display layout becomes complex and difficult to manage
Solution Approach 1:
The system segments the display management by separating the determination of which device displays content from the determination of layout configuration. The hub device independently manages application-to-device mapping while each device manages its own layout, dividing the complex management task into independent manageable segments
Solution Approach 2:
The hub device acts as an intermediary that coordinates between multiple user devices and applications. It receives context information from various sources, determines optimal device assignments for content components, and manages the overall display configuration without requiring direct complex interactions between all devices and applications
2Manufacturing precision
If display layout is optimized for specific device capabilities, then content presentation quality improves, but the system loses flexibility across different devices
Solution Approach 1:
The system applies local quality by determining display layouts specific to each device's capabilities and context. Each device receives a customized layout configuration based on its screen characteristics, user preferences, and environmental factors, while the hub device maintains overall system coordination
Solution Approach 2:
The display layout determination is dynamic and adaptive rather than static. The hub device continuously receives context information about user preferences, device states, and environmental conditions, adjusting device assignments and layouts in real-time to maintain optimal presentation quality across different devices
3Ease of operation
If manual configuration is used for multi-device display, then user control is precise, but the setup process becomes time-consuming and complex
Solution Approach 1:
The system implements self-service by automatically determining device assignments and display layouts based on received context information. The hub device autonomously analyzes user preferences, device capabilities, and environmental factors to configure optimal display arrangements without requiring manual user intervention
Solution Approach 2:
The system uses feedback mechanisms where the hub device receives context information from various sources including user preferences, device states, and environmental sensors. This feedback loop enables the system to continuously optimize device assignments and layouts, adjusting configurations based on actual usage patterns and conditions
Data Source
AI summary
Systems and methods described herein may provide a system that enables determining, for each respective content component of a streaming session, a host device for displaying the respective content component. The system may utilize user, content, and device context to orchestrate content components across all connected displays to maximize the collective user experience across all users in an environment. Inputs may be provided to a machine learning model that considers every possible layout combination of content components on a one or more host devices and outputs potential layouts for the one or more host devices. The potential layouts may be sorted by confidence and one layout selected for each of the one or more host devices.