Abstract
User interfaces for content generation and manipulation can be limited by static controls or ambiguous inputs that may not provide precise, context-specific tools. The disclosed technology relates to a system that can programmatically generate adaptive user interface (UI) controls based on content analysis. This system can analyze a corpus, such as an image or document, to perform semantic inference and derive manipulable properties. These properties can be mapped to declarative UI definitions for controls, such as sliders or dropdown menus, which can be rendered by a host application. This process can provide a user with context-aware controls tailored to specific content and inferred user intent, potentially creating an interaction model that combines the precision of direct manipulation with the flexibility of adaptive interfaces.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Rohde, Sönke; Ross, Alan; and Hinz, Carsten, "Dynamic Generation of Contextual User Interface Controls from Content Analysis", Technical Disclosure Commons, (December 15, 2025)
https://www.tdcommons.org/dpubs_series/9048