AI Conference Content Sharing for Version Consistency
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Solution Overview
Problem
The challenge of inaccessibility to shared conference content arises when multiple participants have different or outdated versions, leading to inefficiencies in online and virtual conferences.
Innovation Solution
A system and method that utilizes machine learning and natural language processing to determine the most relevant content for sharing, checks its availability across various devices, and securely shares it during conferences, even if the content is not locally accessible.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple participants share content from their local devices, then content sharing capability is enabled, but content version inconsistency and inaccessibility problems arise
Solution Approach 1:
The patent introduces a cloud-based content repository as an intermediary between participants' devices. Instead of direct peer-to-peer sharing from local devices, content is uploaded to and retrieved from the cloud repository, which acts as a centralized mediator ensuring all participants access the same authoritative version of shared content
Solution Approach 2:
The patent merges multiple content sources (participants' local devices) into a single centralized cloud-based content repository. This consolidation ensures that all participants reference the same content location, eliminating version inconsistency while maintaining the ability for multiple participants to share content
2Speed
If content is shared from local devices, then sharing speed is fast, but content availability and accessibility to all participants is limited
Solution Approach 1:
The cloud-based content repository provides universal access to all participants simultaneously. Once content is uploaded to the cloud, it becomes universally accessible to all conference participants regardless of their location or device, eliminating the limitations of local device sharing while maintaining efficient access
3Ease of operation
If manual content selection and sharing is performed, then user control over content is maintained, but time consumption and inefficiency increase
Solution Approach 1:
The system performs preliminary actions by automatically analyzing conference content, identifying relevant materials, and preparing them for sharing before users need them. The AI-powered system proactively detects what content should be shared based on conference context, reducing the time users spend on manual content selection while maintaining appropriate user control through confirmation mechanisms
Data Source
AI summary
A computer-implemented method for sharing conference content is provided. The method comprises receiving a share input from a first device corresponding to a participant of a conference session, determining content for sharing using communication information associated with the participant, determining that the content is available through a second device and sharing the content using the second device.


