Abstract
A Real-Time Context Engine (RTCE) dynamically generates and adapts conversational content based on a user’s interactions with a webpage. The RTCE monitors client-side telemetry, such as scroll velocity and cursor position, and feeds these behavioral signals into a large language model (LLM) that functions as a real-time semantic orchestrator. For sponsored items, the system generates both an impartial “Objective Explainer” and a distinct “Advertiser Voice” through dual-voice orchestration, synchronizing them with the user’s expectations to maintain transparency. The technology also performs predictive mode-shifting by analyzing micro-interactions to infer shifts in user intent, automatically altering the user interface from one modality to another, such as from a visual gallery to a structured chat. This approach delivers context-aware content that adapts to the user’s expectations without disruptive page reloads, creating a cohesive conversational experience.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Whalin, Tim and Soemitro, Otty, "Real-Time Context Engine for Dynamic Content Generation and Interface Adaptation", Technical Disclosure Commons, ()
https://www.tdcommons.org/dpubs_series/10171