Beyond one-on-one: Authoring, simulating, and testing dynamic human-AI group conversations

This research focuses on human-computer interaction and visualization methods for creating, simulating, and testing dynamic group conversations involving multiple humans and AI systems. The work extends beyond traditional one-on-one interactions to explore more complex multi-participant dialogue scenarios.

• →Research addresses the evolution from simple human-AI interactions to complex group conversation dynamics.
• →The study involves authoring tools for creating multi-participant AI conversations.
• →Simulation capabilities allow testing of various group interaction scenarios.
• →The work focuses on visualization methods to better understand group conversation patterns.
• →This represents advancement in human-computer interaction research methodologies.