Developing a Dynamic Music and Dance Coordination Multi-Agent System Based on Real-Time Audience Feedback Analysis
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Abstract
Within the context of deep integration between digital entertainment and intelligent interaction, traditional music and dance systems fail to meet contemporary demands for immersive artistic experiences. Real-time audience feedback contains the emotional preferences, aesthetic tendencies, and willingness to participate of the audience, and is the core data resource driving the dynamic optimization of performance content. Multi-agent systems, relying on the advantages of distributed collaboration, can achieve flexible adaptation and real-time response to music generation and dance choreography. This paper develops a dynamic music and dance coordination multi-agent system based on real-time audience feedback analysis, aiming to improve the adaptive collaboration between audience emotion recognition, music generation, dance choreography, and performance control.
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