Live Session Participant Selection Using Rule-Based Queues
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Solution Overview
Problem
Conventional conferencing systems lack the capability for dynamic and unbiased selection of participants for active engagement in a live video conference, often resulting in biased, non-random, or repetitive selection processes that disrupt the session.
Innovation Solution
A conferencing system that allows hosts to select participants using predefined rules, such as random or least-talkative first, with automated participant selection and highlighting, utilizing set theory operations on participant lists to create or modify lists in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual participant selection is used by the host, then the host can control the selection process, but the selection becomes biased, repetitive, and disruptive to the session
Solution Approach 1:
The system enables participants to automatically select themselves for active engagement through predefined rules (random selection, least-talkative first, most-talkative first) without requiring host intervention. The conferencing system autonomously manages participant selection, eliminating manual bias while maintaining control through rule-based automation.
Solution Approach 2:
The system changes the selection parameter from manual host discretion to automated rule-based criteria. By implementing different selection rules (random, least-talkative first, most-talkative first), the system dynamically adjusts selection parameters to achieve fairness and reduce disruption while maintaining operational control.
2Reliability
If automated participant selection is implemented, then selection fairness and efficiency improve, but system complexity increases
Solution Approach 1:
The host pre-configures selection rules and participant lists before the live session begins. The system stores these predefined rules (random, least-talkative first, most-talkative first) and participant lists in advance, so that during the live session, automated selection can occur without real-time complexity or manual intervention.
Solution Approach 2:
The system segments participant management by creating separate lists (e.g., all participants, muted participants, active speakers) that can be independently managed and combined using set theory operations. This segmentation simplifies the automated selection process by breaking down the participant pool into manageable, rule-applicable groups.
3Adaptability or versatility
If real-time list modification is enabled during live session, then selection adaptability improves, but processing time and system load increase
Solution Approach 1:
The system continuously monitors participant activity (speaking status, mute state, engagement level) and uses this feedback to dynamically update participant lists and selection eligibility in real-time. This feedback mechanism allows the system to adapt selection criteria based on current session state without requiring manual reconfiguration or excessive processing time.
Data Source
AI summary
Dynamic selection of participants in video conference where a host of a live session can select a list of participants and a rule for selecting participants therefrom, causing video conferencing services to iteratively apply the rule to the list to select participants for active engagement in the live session. The host can select multiple lists to generate combined lists using set operators such as union, intersection, and difference. The host can modify parameters of parameterized rules. A console may be presented by a user interface of a client device of the host, where the host can select and combine lists, and select and modify rules. The console may present a queue of selected participants.