A Cognitive Accessibility Framework for Mitigating Resumption Lag Using Transitional Context Lobbies
Abstract
This disclosure presents a cognitive accessibility framework designed to mitigate "resumption lag" and severe cognitive friction during task resumption in modern software ecosystems. While existing operating systems and web browsers facilitate context-switching away from tasks, they universally lack a mechanism to re-onboard users when they switch back, forcing users to manually reconstruct their working memory. To address this accessibility barrier, we introduce Transitional Context Lobbies—an additional strategic UI layer that re-orients users returning to suspended workspaces. The primary inventive step is a client-side engine utilizing Teleological Intent Parsing to translate a user's past behaviors, interactions, and browsing data into a human-readable visualization of their overarching intent. By combining this localized intent synthesis with Active DOM State Extraction to surface pending tasks, this framework provides a tailored re-onboarding experience that seamlessly bridges the gap between context suspension and active task continuation.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Mathur, Rachit and Shah, Payal, "A Cognitive Accessibility Framework for Mitigating Resumption Lag Using Transitional Context Lobbies", Technical Disclosure Commons, ()
https://www.tdcommons.org/dpubs_series/11808