Intelligent Application-Tab Stack Rendering Across Displays
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Solution Overview
Problem
Users face inefficiencies in locating specific data across multiple applications and tabs on multiple displays, as existing navigation methods do not consider the context of other applications and tabs, leading to inefficient searching and viewing.
Innovation Solution
An Intelligent Application-Tab Stack Rendering (IATSR) module operates at the operating system level, determining keywords for tabs, generating summarized content, and monitoring user operations to dynamically reorder and render application-tab stacks across displays, ensuring relevant information is quickly accessible.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If multiple applications and tabs are opened across multiple displays, then information display capacity is improved, but data location efficiency deteriorates
Solution Approach 1:
The system pre-generates summarized content and keywords for all tabs and applications before user search is needed. This preliminary organization of information allows the system to quickly respond to user queries without real-time processing delays, directly reducing data location time while maintaining multi-display information capacity
Solution Approach 2:
The patent introduces an intelligent application-tab stack rendering module as an intermediary between the user and the multiple applications/tabs. This module monitors user operation context, matches it with pre-generated tab content, and efficiently retrieves relevant tabs, serving as a mediator that eliminates the need for users to manually search through multiple displays
2Device complexity
If manual navigation through displays and tabs is used, then system complexity is reduced, but operation efficiency deteriorates
Solution Approach 1:
The intelligent application-tab stack rendering module autonomously monitors user operation context, generates keyword matches, and retrieves relevant tabs without requiring manual user intervention. The system serves itself by automatically organizing and presenting information based on user context, significantly improving operation efficiency while maintaining manageable system complexity through automated processes
Data Source
AI summary
A method, a computer program product, and a computer system render a plurality of applications and tabs thereof on a plurality of displays. The method includes determining the applications and the tabs thereof that are open across the displays and keywords associated with the tabs. The method includes generating a data structure corresponding to a current view across the displays comprising information associated with the displays, the applications, the tabs, and summarized contents based on the keywords. The method includes monitoring a user operation context provided by a user indicative of requested information in a selected tab among the tabs. The method includes updating the data structure with the user operation context indicative of the selected tab, a corresponding application, and a corresponding display. The method includes rendering an updated view across the displays in which the selected tab is positioned to be viewed by the user.