Generative Content Interface for Easy Personalized Media Editing
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Solution Overview
Problem
Existing generative artificial intelligence technologies lack an intuitive and efficient user interface for general users to customize content appearance, speech, and text, limiting the ability to provide personalized content experiences.
Innovation Solution
An electronic device generates a user interface with editable and generatable content elements based on first content, allowing users to select and modify these elements using a generative artificial intelligence model to create personalized content, which includes both first and second content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If generative artificial intelligence technology is used to create personalized content, then content personalization capability is improved, but user interface complexity increases making it difficult for general users to operate
Solution Approach 1:
The content customization interface is segmented into multiple selectable elements including appearance elements, speech elements, and text elements. Each element type is further divided into specific options (e.g., appearance includes age, gender, hair style; speech includes speed, pitch, volume). This segmentation allows users to interact with discrete, manageable options rather than facing a complex monolithic interface, thereby improving ease of operation while maintaining comprehensive personalization capability.
2Adaptability or versatility
If multiple content elements are made editable and generatable, then content customization options are improved, but device complexity increases
Solution Approach 1:
A processor acts as an intermediary between the user interface and the generative artificial intelligence model. The processor receives user selections from the structured interface, translates them into appropriate model parameters, and manages the content generation process. This intermediary layer simplifies the overall system architecture by centralizing the complexity handling in the processor while maintaining a clean, organized user interface with distinct element categories and options.
Data Source
AI summary
A method and electronic device for providing content. The electronic device includes obtaining information related to first content being reproduced, generate, based on the information related to the first content, a user interface including at least one of an editable content element in relation to the first content and a generatable content element in relation to the first content, receive a user input selecting a content element through the user interface, generate, based on the content element being selected according to the user input, second content corresponding to the first content, and display personalized content including the first content and the second content.