Collaborative Interaction Among Multiple Participants in AI-Based Media Art: A Case Study

Key Points

• The study aims to explore the interaction levels between audiences and AI in media art, proposing a framework for understanding these dynamics.
• Reviewed literature on AI-based media art principles.
• Proposed a 2×2 matrix for interactivity based on participation and AI autonomy levels.
• Conducted qualitative analysis of representative artworks for technological implementation and interaction patterns.
• Increased AI autonomy enhances audience participation and immersion.
• Hybrid interactions emerged where active audience participation combined with autonomous AI resulted in co-evolutionary collaboration.
• The proposed classification system can guide future AI-based media art creation and audience experience design.

Abstract