Automated Cross-View Screen Sharing via Semantic Association
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Solution Overview
Problem
Existing communication technologies lack efficient automation for cross-view screen sharing between devices during peer-to-peer connections, which can hinder discussions by requiring manual initiation and may compromise data privacy.
Innovation Solution
Implementing a secure peer-to-peer connection that automatically shares visual content between devices based on detected cross-view context, triggered by associations between semantic inputs and visual content, ensuring data privacy and enhancing discussions by presenting a duplicate user interface on both devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual screen sharing initiation is used to ensure data privacy, then data privacy is maintained, but communication efficiency deteriorates due to lack of automation
Solution Approach 1:
The system automatically detects cross-view context and initiates screen sharing without manual user intervention. The communication devices monitor semantic inputs and visual content associations, automatically establishing screen sharing when conditions are met, thereby maintaining privacy through automated control rather than manual initiation.
2Productivity
If automated screen sharing is implemented to enhance communication efficiency, then communication efficiency is improved, but data privacy deteriorates due to automatic content transmission
Solution Approach 1:
The system continuously monitors semantic inputs and visual content on both devices, detecting associations between what is being discussed and what is being displayed. This feedback mechanism enables automated screen sharing only when contextually appropriate, ensuring privacy by maintaining local control while improving communication efficiency through intelligent automation.
3Reliability
If manual initiation of screen sharing is required, then data privacy is protected, but device complexity increases due to user interface management
Solution Approach 1:
The system automatically manages the complexity of screen sharing initiation by detecting cross-view context and executing sharing protocols without user intervention. This eliminates the need for complex user interface management while maintaining privacy through automated control mechanisms that monitor and respond to contextual cues.
4Ease of operation
If automated detection of cross-view context is implemented, then ease of operation is improved, but device complexity increases due to semantic analysis requirements
Solution Approach 1:
The system uses feedback from monitoring semantic inputs and visual content to automatically detect cross-view context. This feedback loop enables ease of operation by eliminating manual initiation while managing complexity through intelligent automation that only processes information when relevant associations are detected, rather than continuous complex analysis.
Data Source
AI summary
An electronic device, method, and computer program product support sharing of a cross-view by a first communication device in a communication session with a second communication device. First semantic inputs by a first participant are communicated to the second communication device for presenting to a second participant. Second semantic inputs by the second participant are communicated to the first communication device for presenting to the first participant. The first communication device presents first visual content selected by the first participant. The second communication device presents second visual content presented by the second participant. In response to determining that the semantic input(s) are associated with the visual content, the first communication device communicates a duplicate copy of the first visual content to the second communication device. The first communication device receives a duplicate copy of the second visual content from the second communication device, as a cross view to enhance discussion.