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Research on Human-AI Collaboration Mechanisms in Multimodal Content Production with Platform-Level AI Tools
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Abstract
This study focuses on multimodal content production and explores the applica-tion mechanisms and optimization paths of platform-level artificial intelligence (AI) tools in human–machine collaborative creation. Through literature analysis and case studies, it examines the development trends of multimodal production and analyzes the technical features and functional advantages of AI in text, im-age, and audiovisual generation. A human–machine collaboration model is con-structed to investigate AI’s roles in creative generation, task allocation, real-time feedback, and quality control. The results indicate that AI significantly enhances production efficiency and content consistency through intelligent scheduling and data-driven feedback mechanisms. The study further proposes optimization strategies for multimodal collaboration, emphasizing workflow management, information interaction, and data analysis, providing practical references for the intelligent development of the digital creative industry.
Keywords
Collaborative Creativity; Human-AI Collaboration; Platform-Level AI Tools; Collaboration Mechanisms; Efficiency Optimization
References
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How to cite this paper
Research on Human-AI Collaboration Mechanisms in Multimodal Content Production with Platform-Level AI Tools
How to cite this paper: Shuang Luan. (2025) Research on Human-AI Collaboration Mechanisms in Multimodal Content Production with Platform-Level AI Tools. Advances in Computer and Communication, 6(4), 212-217.
DOI: http://dx.doi.org/10.26855/acc.2025.10.010
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