Generative Content Overlay Card for Context-Aware AI Suggestions
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Solution Overview
Problem
Existing generative models require explicit user input and access to dedicated web pages or software applications, wasting computational resources and limiting context to prior user inputs, failing to utilize content displayed at the client device.
Innovation Solution
A generative content graphical card that overlays client device content, processes displayed content using on-device or cloud-based generative models to generate actionable suggestions, allowing user interaction without switching applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If users access dedicated web pages or software applications to interact with generative models, then the models can process user inputs effectively, but computational resources are wasted and user interaction becomes more complex
Solution Approach 1:
The patent merges the generative model interface directly into the content display layer by overlaying the graphical card on top of existing content. This integration eliminates the need for users to navigate to separate web pages or applications, combining the generative model interaction with the content consumption experience into a single unified interface.
Solution Approach 2:
The graphical card system provides multi-functionality by enabling users to interact with generative models within various content contexts (documents, images, videos, web pages) without requiring different applications. The same graphical card interface works universally across different content types and sources, reducing the need for multiple dedicated interfaces.
2Reliability
If users access dedicated web pages or software applications to interact with generative models, then the models can process user inputs effectively, but computational resources are wasted
Solution Approach 1:
The system performs preliminary action by pre-loading and rendering the graphical card interface within the existing application context before user interaction begins. The graphical card is prepared and integrated into the display layer in advance, eliminating the need to load separate web pages or launch additional applications, thereby avoiding redundant computational resource consumption.
3Device complexity
If generative models are limited to prior user inputs and generated content, then the model context is manageable, but the models fail to utilize displayed content at client devices
Solution Approach 1:
The graphical card acts as an intermediary layer between the existing content display system and the generative model. It captures and transmits context from the displayed content (documents, images, videos, web pages) to the generative model, enabling the model to utilize this additional context while the graphical card manages the complexity of context aggregation and transmission.
Data Source
AI summary
Implementations described herein relate to providing a generative content graphical card at client device(s) that enable user(s) of the client device(s) to interact with various generative model(s) (GM(s)). Processor(s) of a system can: receive an invocation of a generative content graphical card; and in response to receiving the invocation: causing the generative content graphical card to be visually rendered such that it overlays content displayed at the client device; process, using a GM, GM input (including at least the displayed content) to generate GM output; determine, based on the GM output, a plurality of suggestions that are each associated with a corresponding action; and cause the plurality of suggestions to be visually rendered. Further, the processor(s) can, in response to receiving a user selection of a given suggestion: cause the corresponding action to be performed; and cause a result of performance of the corresponding action to be visually rendered.


