AI Conference Controller Mediating Cross-Domain Virtual Assistant Integration
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Solution Overview
Problem
Current Virtual Assistant (VA) systems limit inter-domain communication and conflict resolution in virtual conferences, requiring manual moderation and being inefficient in handling conflicts and setting discussion topics.
Innovation Solution
An AI-assisted conference system that allows cross-domain communication by establishing AI-assisted conference sessions, automatically determining API configurations, displaying participant information, and resolving conflicts using conflict resolution parameters, and dynamically setting discussion topics based on participant interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If VAs from different domains are connected to enable cross-domain virtual conferences, then the accessibility and versatility of the conference system is improved, but the system complexity and difficulty of integration increases
Solution Approach 1:
The patent introduces a conference controller as an intermediary component that mediates between VAs from different domains. The controller receives conference requests, determines domain-specific API configurations, and establishes connections between participants. This intermediary approach allows cross-domain communication without requiring direct integration between all domain components, thereby maintaining system versatility while managing integration complexity centrally.
Solution Approach 2:
The conference controller is designed as a universal component that can handle multiple domain types through a single interface. It automatically determines the appropriate API configuration based on the domain of each participating VA, enabling the same controller to manage conferences involving VAs from healthcare, finance, education, and other domains without requiring domain-specific customizations for each connection.
2Measurement precision
If manual moderation is used to resolve conflicts and set discussion topics in virtual conferences, then the control and precision of discussion management is improved, but the time consumption and productivity decreases
Solution Approach 1:
The patent implements an automated conflict resolution mechanism where the conference controller monitors participant interactions, detects conflicts using predefined criteria, and resolves them automatically based on domain-specific policies and API configurations. Similarly, the system automatically identifies and sets discussion topics without requiring manual moderator intervention. This self-service approach maintains precise control over conference dynamics while eliminating the time loss associated with manual moderation.
3Productivity
If automated conflict resolution is implemented in virtual conferences, then the productivity and efficiency of the conference system is improved, but the reliability and effectiveness of conflict resolution may deteriorate
Solution Approach 1:
The patent employs domain-specific API configurations that are tailored to the characteristics and requirements of different domains. When resolving conflicts, the conference controller adjusts resolution parameters and policies based on the specific domain of the participating VAs. For example, medical domain conferences may use different conflict resolution criteria compared to financial domain conferences. This parameter adaptation ensures that automated conflict resolution maintains high effectiveness across diverse domains while preserving conference efficiency.
Data Source
AI summary
Embodiments herein provide a method for providing an Artificial Intelligence (AI)-assisted conference system. The method includes establishing an AI-assisted conference session with a plurality of calling applications associated with different domains. Further, the method includes determining an inactivity period in the AI-assisted conference session and recommend a topic content to the plurality of calling applications. Further, the method includes detecting a conflict between the plurality of participants associated with the plurality of calling applications and resolve the conflict using a conflict resolution. Furthermore, the method includes generating a visual artifact based on audio contents and textual contents provided by the plurality of participants during an interaction in the AI-assisted conference session.