Contextual Task Creation From Shared Screens Using OCR and NLP
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Solution Overview
Problem
Existing solutions for project collaboration, such as post-meeting task assignment and verbal task assignment, do not facilitate real-time collaboration effectively, leading to delays and potential loss of important details due to manual note-taking and lack of integrated task management systems, especially in virtual meetings and chat platforms.
Innovation Solution
Integrating Optical Character Recognition (OCR) and Natural Language Processing (NLP) techniques to enable real-time task creation from shared screen content during screen sharing sessions, allowing seamless task generation and management within the collaboration environment without switching tools, and providing integrated reminders within chat platforms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If manual note-taking and task creation are used during virtual meetings, then participants can capture important points and tasks, but the process is time-consuming and causes delays in task assignment
Solution Approach 1:
The system automatically generates tasks from shared screen content without requiring manual intervention. The task management system autonomously extracts information, creates tasks, and assigns them, eliminating the need for participants to manually transcribe and create tasks during meetings.
Solution Approach 2:
The patent replaces manual mechanical note-taking with automated optical character recognition (OCR) and natural language processing (NLP) systems. These technologies automatically transcribe and interpret shared screen content, converting visual information into structured task data without human intervention.
2Reliability
If participants manually create tasks after reviewing shared content, then they can ensure accuracy, but details are forgotten by the time tasks are created
Solution Approach 1:
The system performs preliminary extraction and processing of task information during the meeting itself, while the shared content is still fresh. By continuously monitoring and processing screen content in real-time, the system captures details before participants would otherwise forget them during post-meeting review.
Solution Approach 2:
The task management system operates continuously during the meeting, constantly analyzing shared screen content and creating tasks as they arise. This continuous operation ensures that task creation is an ongoing process rather than a discrete post-meeting activity, maintaining constant connectivity between meeting content and task assignments.
3Ease of operation
If chat platforms are used for communication, then real-time communication is convenient, but robust task management features are lacking leading to information overload
Solution Approach 1:
The patent merges chat communication functionality with task management capabilities into a single integrated platform. The system combines real-time messaging with automated task extraction, allowing users to conduct conversations and manage tasks within the same interface, eliminating the need to switch between separate communication and project management tools.
Solution Approach 2:
The chat platform is enhanced to perform multiple functions: real-time communication, task assignment, progress tracking, and reminder notifications. By making the platform multi-functional, the system eliminates the need for separate specialized tools while maintaining the convenience of real-time communication.
4Loss of information
If extensive chat messages are used to discuss tasks, then detailed communication is achieved, but it becomes challenging to keep track of assigned tasks
Solution Approach 1:
The system extracts and isolates task information from the broader context of chat messages. By using NLP to identify and separate actionable items from general conversation, the system creates distinct task records that can be independently tracked, eliminating the need to search through voluminous chat history.
Solution Approach 2:
The system provides continuous feedback by automatically generating reminders and status updates based on extracted tasks. This feedback mechanism keeps users informed about task progress and deadlines without requiring them to manually monitor extensive chat conversations, reducing the cognitive load of tracking multiple assignments.
Data Source
AI summary
An electronic method for contextual task creation during a screen sharing session includes collecting shared screen data, searching the shared screen data for a potential task, and confirming the potential task with a user to generate a confirmed task. The electronic method can further include sending the confirmed task to a task management engine where the task can be collaboratively reviewed for progress and accuracy. The electronic method can be performed by a contextual task creation program or system that utilizes optical character recognition techniques for converting an image of text into a machine-readable text format, and natural language processing techniques for identifying keywords, entities, and actionable items within the text to provide possible task suggestions to a user.