Demand-Aware Screen Sharing Using Audio Intent Detection
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Solution Overview
Problem
Web conferencing experiences inefficiencies and disruptions due to manual screen sharing interruptions, accidental sharing of unintended content, uncertainty in when to share, and coordination complexities among multiple participants.
Innovation Solution
A demand-aware screen sharing program that utilizes human-computer interaction to predict user intentions and automate screen sharing based on real-time analysis of audio and video feeds, ensuring relevant content is shared at appropriate times while minimizing disruptions and protecting privacy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual screen sharing is used, then users can share content, but it causes interruptions and disruptions to the conference flow
Solution Approach 1:
The system performs preliminary analysis of the audio feed to detect intent to share before the user manually initiates screen sharing. By predicting the user's intention in advance and preparing the screen sharing action automatically, the system eliminates the need for manual initiation and reduces interruptions to the conference flow.
2Productivity
If screen sharing is shared without analysis, then content can be shared quickly, but unintended or sensitive content may be accidentally exposed
Solution Approach 1:
The system performs preliminary analysis of both the audio feed (to detect intent) and the screen content (to identify sensitive information) before initiating or allowing screen sharing. This advance detection and filtering mechanism prevents accidental exposure of unintended or sensitive content while maintaining quick response when appropriate.
Solution Approach 2:
The system continuously monitors the audio feed and provides feedback about detected intent to share. It also monitors the screen content and provides feedback about potentially sensitive information, allowing the system to adjust its screen sharing behavior dynamically based on real-time conditions.
3Adaptability or versatility
If multiple participants want to share screens, then collaboration is enhanced, but coordination complexity increases
Solution Approach 1:
Each participant's system independently analyzes their own audio feed and screen content to detect intent to share and identify sensitive information. The system automatically manages its own screen sharing actions without requiring complex coordination with other participants, thereby enhancing collaboration while avoiding coordination complexity.
Solution Approach 2:
The system monitors the conference state and provides feedback about which participants are currently sharing and what content is being shared. This feedback mechanism allows the system to automatically adjust its behavior based on the current conference context, managing multiple screen sharers without complex coordination.
4Extent of automation
If automated screen sharing is implemented, then manual intervention is reduced, but the system complexity increases
Solution Approach 1:
The system replaces the mechanical manual process of initiating and managing screen sharing with an automated audio-based detection system. By using audio feed analysis to detect intent and automatically trigger screen sharing actions, the system reduces manual intervention while the complexity is contained within the automated detection and decision-making algorithms.
Data Source
AI summary
According to one embodiment, a method, computer system, and computer program product for demand-aware screen sharing is provided. The embodiment may include initiating a virtual conference between two or more participants. The embodiment may also include monitoring an audio feed of the virtual conference. The embodiment may further include identifying a trigger event in the monitored audio feed. The embodiment may also include performing a screen sharing action based on the identified trigger event.