Abstract
The media display devices in an idle state can be underutilized, often showing a blank screen or generic, non-personalized content. A generative artificial intelligence framework can be used to create personalized artwork for display during periods of inactivity. The system can process a variety of inputs, including a user's media consumption history, explicit commands, and real-time environmental data. An orchestration layer can synthesize these inputs into a detailed directive for a generation layer, which may contain one or more specialized generative models. These models can then synthesize a stream of visual artwork based on the directive. This approach allows a passive display to render a stream of contextually relevant artwork that may be thematically linked to a user's interests and surroundings.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Shin, D, "Generative Art for Idle Displays Personalized by Media Consumption and Contextual Inputs", Technical Disclosure Commons, (November 19, 2025)
https://www.tdcommons.org/dpubs_series/8904