TV Interface Theme Generation From User Viewing Preferences
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Solution Overview
Problem
Existing television applications lack the ability to dynamically customize their user interface based on user preferences without manual input, leading to a less engaging experience.
Innovation Solution
Implementing a generative artificial intelligence framework that analyzes user history and preferences to automatically generate a theme for the user interface, adapting elements such as color, shape, typography, and interactive components.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a static theme is used for the television application, then the device complexity is reduced, but the user engagement and appeal are worsened
Solution Approach 1:
The system automatically generates themes based on user history and preferences without requiring manual user input or selection. The AI framework analyzes past behavior data and autonomously determines theme parameters, allowing the system to serve itself rather than requiring active user participation in the theme selection process
Solution Approach 2:
The system dynamically adjusts theme parameters such as color schemes, typography styles, and layout configurations based on identified user preferences. By changing these parameters automatically according to user history, the system adapts the interface to individual users without increasing visible complexity to the end user
2Adaptability or versatility
If manual theme selection is required from users, then the ease of operation is improved, but the user engagement and personalization are worsened
Solution Approach 1:
The theme generation system operates autonomously by analyzing user history and preferences to determine appropriate themes. This self-service approach eliminates the need for users to manually select or configure themes, while still achieving high levels of personalization based on automated analysis of user behavior patterns
Solution Approach 2:
The system continuously monitors and analyzes user interaction history to refine theme recommendations. By using feedback from actual user behavior data rather than relying on explicit user preferences, the system achieves personalized themes while maintaining ease of operation through automatic adaptation
Data Source
AI summary
According to an aspect, a method may receive, by a server computer, an input image representative of preferred media content for viewing by a user on a computing device. A method may identify aspects of the input image. A method may generate a theme for association with the input image based on the aspects of the input image. A method may dynamically adapting user interface elements and interactive components for a user interface of a television application based on the theme associated with the input image. A method may sending, by the server computer, the user interface for the television application to the computing device for display on the computing device, the user interface including the dynamically adapted user interface elements and interactive components.


