Chat Application GUI Elements for No-Switch Task Execution
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Solution Overview
Problem
Users face inefficiencies and interruptions when switching between applications during virtual interactions, such as online chats, to perform actions like checking calendars, and may forget to-do actions without proper note-taking.
Innovation Solution
Implementing GUI elements in the chat application that automatically invoke external application functionalities based on machine learning models to identify and execute actions, providing summaries of completed and pending tasks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users switch between applications during virtual interactions to perform actions, then they can access external application functionalities, but they experience interruptions and time loss
Solution Approach 1:
The patent merges external application functionalities directly into the chat application interface by generating GUI elements that invoke external applications. This integration allows users to access calendar, task management, and other external functionalities without leaving the chat application, thereby eliminating application switching and associated time loss while maintaining access to versatile external capabilities.
Solution Approach 2:
The patent introduces an intermediary mechanism in the form of generated GUI elements that act as mediators between the chat application and external applications. These GUI elements enable indirect access to external functionalities through the chat interface, serving as a bridge that eliminates the need for direct application switching while maintaining functional access.
2Reliability
If users manually note down to-do actions during chat sessions, then they can remember tasks, but they lose time and interrupt the conversation flow
Solution Approach 1:
The patent implements self-service functionality where the system automatically identifies action items from chat messages and generates corresponding GUI elements without requiring user intervention. The system autonomously extracts tasks, creates actionable elements, and manages them within the chat interface, eliminating the need for manual note-taking while maintaining task reliability and preserving conversation flow.
Solution Approach 2:
The patent performs preliminary action by automatically identifying and extracting action items from chat messages in real-time before users would need to manually note them. The system proactively generates GUI elements for tasks based on chat content analysis, preparing actionable items ahead of time without interrupting the conversation, thus maintaining both task reliability and productivity.
3Productivity
If the chat application integrates external application functionalities, then user efficiency improves, but the chat application complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the integration of external functionalities into discrete, modular GUI elements that are generated dynamically based on chat context. Each external functionality is represented as a separate, independently manageable element rather than a monolithic integration, allowing the chat application to maintain simplicity while providing access to multiple external capabilities through standardized, segmented interfaces.
Data Source
AI summary
Example methods and systems facilitate user actions during a chat session on an online chat platform. A client device is installed with a chat and video conference application. The chat and video conference application includes a machine learning (ML) model. The client device receives a chat message during a chat session and identifies an action item from the chat message using the ML model. One or more GUI elements can be generated associated with a functionality of an application corresponding to the action item. A GUI element can be activated to invoke the functionality of the application.