Multi-device Video Session Joining via Weighted Text Search
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Users of computing devices face challenges in identifying and joining multi-device video communication sessions of interest, as existing methods lack efficient mechanisms for searching and adding devices to ongoing sessions.
Innovation Solution
A method and system that allow a computing device to receive recorded content from multiple sessions, generate a weighted list of text elements, and enable users to select and join sessions based on search requests, facilitating the addition of devices to multi-device video communication sessions by transmitting add requests.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If users manually browse through multiple video communication sessions to find the desired session, then they can join the correct session, but the time and effort required to identify and join the session increases significantly
Solution Approach 1:
The system performs preliminary actions by generating and displaying a weighted list of text elements from session metadata before the user needs to join a session. This allows users to quickly identify relevant sessions without manually browsing through multiple sessions, thereby reducing the time and effort required to find and join the desired video communication session.
2Loss of information
If the system provides detailed information about multiple sessions simultaneously, then users can make informed decisions about which session to join, but the complexity of the interface and information processing increases
Solution Approach 1:
The system segments the information about multiple sessions into individual text elements that are weighted and ranked based on relevance. Instead of presenting all session information simultaneously in a complex format, the system divides the information into discrete, manageable text elements that are displayed in order of importance, making it easier for users to process and make decisions.
Solution Approach 2:
The system applies local quality by providing different levels of information detail for different sessions based on their relevance weights. Highly relevant sessions receive more prominent display and potentially more detailed information, while less relevant sessions receive less prominence. This allows the interface to provide comprehensive information without overwhelming the user with uniform complexity across all sessions.
Data Source
AI summary
A method of adding a computing device to a multi-device video communication session. A server receives recorded content from a plurality of multi-device video communication sessions and a search request from a computing device. The server identifies a first multi-device video communication session based on the search request. The first multi-device video communication session includes a weighted list of text elements. The server transmits information based on the weighted list of text elements to the computing device, receives a selection from the computing device corresponding to a first text element, and transmits at least a portion of the recorded content from the first multi-device video communication session to the computing device based on the first text element. The server receives an add request for the computing device to be added to the first multi-device video communication session and transmits the add request to the first multi-device video communication session.


