Abstract
The predominant mode of interaction with artificial intelligence (AI) models is text or speech queries. The reliance on such chat-centric interfaces requires users to formulate specific and detailed (series of) questions to elicit the desired response from the AI model. This disclosure describes techniques that dynamically generate interactive user interfaces in response to user queries directed at an AI model. The techniques augment conventional chat-based interactions by interpreting the context and the user’s intent to construct a relevant graphical user interface (GUI) that facilitates further exploration and action. The GUI can include mouse (e.g., click, drag-and-drop, etc.) or touch-driven commands, and, based on the detected user intent, include graphical controls for filtering, sorting, preference, toggling, sliding, etc. The techniques enable users to easily filter results, modify preferences, switch context, and control AI interactions with lesser cognitive load. Generally, the interaction model is shifted from a purely conversational one to a guided, visual, intuitive, and interactive paradigm.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Govindaraju, Raviteja and Singh, Harshdeep, "AI-Driven Dynamic Generation of User Interfaces", Technical Disclosure Commons, (November 06, 2025)
https://www.tdcommons.org/dpubs_series/8843