Real-Time Feedback and Audience Engagement Optimization in Music Performance through Interactive Mobile Technologies

Abstract

To address the challenge of real-time measurement and dynamic optimization of audience engagement in music performances under mobile Internet environments, the real-time feedback and audience engagement optimization were explored through mobile interaction technologies. A multimodal real-time emotional feedback analysis model and a mobile interaction behavior evolution tracking framework were established, and a dynamic quantification approach to audience engagement was proposed, enabling continuous perception and integrated assessment of audience emotional states and interactive behaviors during performances. An adaptive optimization mechanism based on real-time engagement data was further constructed, whereby audiovisual rendering, interactive tasks, and content orchestration strategies were dynamically adjusted, forming a closed-loop engagement enhancement scheme. Experimental results demonstrated that the proposed method significantly strengthened audience participation experiences and provided both theoretical underpinnings and technical pathways for the design and implementation of intelligent performance systems. The findings overcome the limitations of conventional offline evaluation modes and advance the paradigm shift of music performance from one-way dissemination to bidirectional interaction.