Multi-Display Content Distribution via Automatic Selection
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Solution Overview
Problem
Existing technologies face challenges in providing an efficient user interface for interacting with complex services and applications across multiple displays, particularly on devices with limited display capabilities, requiring manual organization and management by the user, which becomes burdensome as complexity grows.
Innovation Solution
A system that automatically selects and presents content on multiple displays based on the content currently being presented on one display, allowing seamless interaction and multitasking by detecting activation of additional displays and dynamically selecting related content for presentation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual content organization is used across multiple displays, then users have control over content arrangement, but user burden and complexity increase significantly
Solution Approach 1:
The system automatically manages content distribution across multiple displays without requiring manual user intervention. The server autonomously selects content for different displays based on detected user actions and display configurations, eliminating the burden of manual content organization while maintaining effective multi-display service delivery
Solution Approach 2:
The system pre-configures content selection and distribution strategies before user interaction. By detecting display activations and pre-determining appropriate content mappings, the system prepares content arrangements in advance, reducing real-time user effort and simplifying the interaction process
2Adaptability or versatility
If multiple displays are activated simultaneously, then content presentation capacity increases, but user interface complexity and seam count increase
Solution Approach 1:
The server acts as an intermediary that manages the complexity of content distribution across multiple displays. It receives display activation signals, processes content selection logic, and automatically distributes appropriate content to each display, shielding users from interface complexity while enabling versatile content presentation
Solution Approach 2:
The system segments content management by assigning specific content to specific displays based on activation patterns. Each display receives tailored content segments rather than requiring unified management of all displays, reducing overall interface complexity while maintaining high presentation capacity
3Ease of operation
If automatic content selection is implemented, then manual effort is reduced, but system complexity and processing requirements increase
Solution Approach 1:
The server performs automatic content selection and distribution autonomously, detecting display activations and selecting appropriate content without user intervention. This self-service approach eliminates manual content management effort while the distributed architecture keeps individual device processing requirements manageable
Solution Approach 2:
The system continuously monitors display activation states and uses this feedback to dynamically adjust content selection. By listening for display activation signals and responding automatically, the system reduces manual effort while using efficient event-driven processing that minimizes system complexity
Data Source
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AI summary
An approach is presented for providing content over multiple displays. A display manager causes, at least in part, presentation of a first content on a first display. The display manager then receives an input for activating one or more second displays. The display manager selects a second content based, at least in part, on the first content and the input, and causes, at least in part, presentation of the second content on the one o more second displays.