Electronic device and user interface generation method thereof

TWI937853BActive Publication Date: 2026-09-01ASUSTEK COMPUTER INC
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Patent Information

Application Number
TW114119161
Authority / Receiving Office
TW · TW
Patent Type
Patents
Current Assignee / Owner
Filing Date
2025-05-22
Publication Date
2026-09-01
Estimated Expiration
2045-05-21

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Abstract

This invention provides an electronic device and a method for generating its user interface. The user interface generation method is applicable to electronic devices including a display. The method includes the following steps: receiving user input information; converting the user input information into a prompt text based on semantic analysis; generating visual interface materials based on the prompt text using an image generation model; applying the visual interface materials to a user interface; and displaying the user interface including the visual interface materials on the display.
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Claims

1. A user interface generation method, applicable to an electronic device including a display, the method comprising: Receive information input from a user; Based on semantic analysis, the user input information is converted into a prompt text; A visual interface material is generated based on the prompt text using an image generation model; the visual interface material is then applied to a user interface. And displaying the user interface including the visual interface material through the display, wherein the step of converting the user input information into the prompt text based on semantic analysis includes: generating a first prompt text for wallpaper generation based on the semantic analysis result of the user input information according to a first prompt conversion rule; And based on the second prompt conversion rule, a second prompt text for application illustration generation is generated according to the semantic analysis results of the user input information.

2. The user interface generation method as described in claim 1, wherein the visual interface material includes a wallpaper or an application icon.

3. The user interface generation method as described in claim 1, wherein the first prompt conversion rule is different from the second prompt conversion rule.

4. The user interface generation method as described in claim 3, wherein generating the first prompt text for wallpaper generation based on the semantic analysis results of the user input information according to the first prompt conversion rule includes: By performing semantic analysis on the user input information, at least one wallpaper prompt word corresponding to the user input information is determined; The at least one tablecloth prompt word is embedded in a preset prompt text format to generate a first prompt text that includes tablecloth details and the at least one tablecloth prompt word, wherein the preset prompt text format includes the tablecloth details.

5. The user interface generation method as described in claim 2, wherein the step of generating the second prompt text for application illustration generation based on the semantic analysis result of the user input information according to the second prompt conversion rule includes: By performing semantic analysis on the user input information, at least one graphic prompt word corresponding to the user input information is determined; And merge the at least one graphic prompt word to generate a second prompt text that includes the at least one graphic prompt word.

6. The user interface generation method as described in claim 3, wherein the step of generating the visual interface material based on the prompt text using the image generation model includes: The first prompt text is input into a tablecloth generation model to generate the tablecloth in the visual interface material; The second prompt text is input into an illustration generation model to generate application illustrations in the visual interface material.

7. The user interface generation method as described in claim 6, wherein the step of inputting the first prompt text into the tablecloth generation model to generate the tablecloth in the visual interface material includes: Input the first prompt text into the tablecloth generation model and obtain the original tablecloth output by the tablecloth generation model; The wallpaper is obtained by improving the image resolution of the original wallpaper based on the screen resolution of the display using a super-resolution model.

8. The user interface generation method as described in claim 6, wherein the step of inputting the second prompt text into the illustration generation model to generate the application illustration in the visual interface material includes: The second prompt text and at least one preset application icon are input into the icon generation model to obtain the application icon output by the icon generation model.

9. The user interface generation method as described in claim 1 further includes: Based on the semantic analysis results of the user input information, at least one theme color is selected from multiple preset colors; And apply the interface color scheme determined based on the at least one theme color to the user interface.

10. An electronic device comprising: Input device; monitor; Storage device that records multiple instructions; A processor, coupled to the input device, the display, and the storage device, executes the instructions and is configured to: receive user input information through the input device; convert the user input information into a prompt text based on semantic analysis; generate a visual interface material based on the prompt text using an image generation model; and apply the visual interface material to a user interface. And displaying the user interface including the visual interface material through the display, wherein the step of converting the user input information into the prompt text based on semantic analysis includes: generating a first prompt text for wallpaper generation based on the semantic analysis result of the user input information according to a first prompt conversion rule; And based on the second prompt conversion rule, a second prompt text for application illustration generation is generated according to the semantic analysis results of the user input information.

Citation Information

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