AI Presenter Switching for Broadcast Hindrance in Web Conferences
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing virtual meeting systems face challenges in maintaining clear audio and visual transmission due to background noise, network issues, and computing limitations, which can distract and hinder the presentation experience for participants.
Innovation Solution
An AI-based system monitors broadcast hindrances such as background noise, network bandwidth, and computing power across multiple presenter devices, seamlessly switching control to a backup presenter with better conditions when necessary, ensuring uninterrupted and high-quality presentation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a single presenter is designated for screen sharing control, then the presentation flow is simple to manage, but the system becomes vulnerable to broadcast hindrances such as background noise, network issues, and computing limitations
Solution Approach 1:
The system pre-designates backup presenters before the virtual meeting begins and continuously monitors their readiness status. This preliminary preparation ensures that when broadcast hindrances occur, a suitable replacement is already identified and ready to take over, resolving the contradiction between maintaining simple presenter management and ensuring reliable presentation quality.
Solution Approach 2:
The system introduces an automated intermediary mechanism that monitors broadcast conditions (noise levels, network bandwidth, computing power) and automatically switches between presenters based on real-time conditions. This intermediary layer handles the complexity of multi-presenter coordination while keeping the user experience simple, thus resolving the contradiction between reliability and system complexity.
2Reliability
If the system continuously monitors broadcast conditions to ensure quality, then presentation reliability improves, but the system complexity and processing requirements increase
Solution Approach 1:
Presenter devices autonomously monitor their own broadcast conditions (local microphone noise levels, network bandwidth availability, computing power status) and report this information to the coordination system. This self-service approach distributes the monitoring burden across multiple devices rather than requiring a centralized complex monitoring infrastructure, thus improving reliability while managing system complexity.
Solution Approach 2:
The system implements continuous feedback loops where broadcast condition data is collected from presenters, analyzed by the coordination system, and used to automatically adjust presenter assignments. This feedback mechanism ensures high transmission quality by responding to changing conditions in real-time while keeping the system manageable through automated decision-making algorithms.
3Reliability
If multiple presenters are prepared as backups, then the system can switch to maintain quality, but the complexity of managing and selecting the appropriate presenter increases
Solution Approach 1:
The system evaluates backup presenters based on multiple dynamic parameters including current broadcast conditions (noise level, network bandwidth, computing power), presenter availability status, and historical performance metrics. By automatically changing and weighting these parameters in real-time, the system identifies the most suitable backup presenter without requiring manual intervention, thus ensuring presentation continuity while simplifying the selection process.
4Productivity
If automatic presenter switching is implemented, then the presentation experience is maintained without interruption, but the automation level and system complexity increase
Solution Approach 1:
The system pre-establishes switching protocols and backup presenter hierarchies before the virtual meeting begins. These preliminary configurations include predefined switching thresholds for various broadcast conditions and ordered lists of backup presenters. This preliminary action enables automatic switching to occur smoothly without requiring complex real-time decision-making algorithms, thus improving presentation delivery efficiency while managing the extent of automation required.
Data Source
AI summary
A method, computer system, and a computer program product for artificial intelligence-based virtual meeting presentation oversight are provided. A stream of a virtual meeting having a first computer designated for screen sharing control is received. A broadcast hindrance update from the first computer is received. The broadcast hindrance update is input into a machine learning model. As output from the machine learning model a recommendation regarding switching of the screen sharing control is received. In response to the receiving and to the recommendation indicating that the screen sharing control should be switched, a control switching signal is sent to a second computer participating in the virtual meeting.