Multi-Device Background Image Sharing With AI-Based Partial Displays
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Solution Overview
Problem
Existing electronic devices lack the capability to seamlessly share and synchronize background images across multiple devices based on user-defined relationships and content analysis using generative artificial intelligence.
Innovation Solution
An electronic device equipped with a processor, memory, and communication circuitry uses generative AI models to analyze user inputs, identify external devices, extract prompts, and generate synchronized background images across multiple devices based on relationship information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single background image is displayed on multiple electronic devices, then device complexity is reduced, but user experience and personalization are worsened
Solution Approach 1:
The patent divides a single background image into multiple partial images, with each electronic device displaying a different portion. This segmentation allows the system to maintain simplicity in image generation while achieving personalization across devices, as each device receives a customized segment rather than requiring completely different images.
Solution Approach 2:
Different regions of the background image are assigned to different devices based on their characteristics and user relationships. Each device displays a specific portion (local region) of the overall image, allowing personalization tailored to individual device contexts while maintaining coherence across the distributed display system.
2Adaptability or versatility
If background images are customized for each electronic device, then user experience is improved, but system complexity and processing requirements increase
Solution Approach 1:
The system performs preliminary actions by pre-processing the background image into multiple selectable portions before distribution to devices. The server or controlling device prepares the segmented image data in advance, so that when images are distributed to multiple devices, personalization is achieved without requiring complex real-time processing at each device.
3Adaptability or versatility
If relationship information is used to generate personalized images, then user experience is enhanced, but processing time and computational resources increase
Solution Approach 1:
Instead of generating completely different images for each device, the system applies partial customization by modifying or selecting specific portions of a base background image. This partial action approach reduces computational overhead while still achieving personalization, as it requires processing only the necessary segments rather than entire images from scratch.
Data Source
AI summary
An electronic device may include a display and at least one processor. The at least one processor may be configured to: identify content on the basis of a first user input; identify at least one external electronic device on the basis of a second user input; extract at least one prompt on the basis of the identification of the content; and obtain relationship information about a relationship between the electronic device and the at least one external electronic device. The at least one processor may be configured to generate an image on the basis of the at least one prompt and the relationship information by using a generative artificial intelligence (AI) model. The at least one processor may be configured to display a partial image of the generated image as a background screen of the display. Another partial image of the image may be displayed on the at least one external electronic device.