This paper argues the emergence of artificial intelligence (AI)-based acting performance opens new artistic horizons that existing concepts of representation and expression cannot fully capture. While digital humans mimicking human appearance and emotional expression spread across the content industry, this phenomenon raises fundamental questions about acting as a human-centric art form. Traditional representation presupposes an original and expression is based on a human subject's inner experience, whereas AI acting is characterized by imitation without an original and emotion simulation without interiority. This study employs conceptual analysis and literature review as primary methodologies, focusing on media theory, performance theory, and posthumanism to build a new analytical framework. This paper proposes "Generative Simulation" as a comprehensive superordinate concept, which encompasses three key sub-components: "Algorithmic Corporeality" defining the AI's data-driven body, "Simulated Affect" describing its imitation of emotion devoid of inner experience, and "Generative Agency" explaining its role as a non-conscious participant in the creative process. This framework provides a theoretical foundation for re-evaluating human actors' unique artistic value and redefining the art-technology relationship.
목차
Abstract 1. Introduction 2. Theoretical Background 2.1 The Limits of Representation and Expression 2.2 Corporeality: Liveness, Posthumanism, and the Uncanny 2.3 Emotion: Affect, Simulation, and Qualia 2.4 Agency: Creativity, Generative Art, and Distributed Subjects 3. Methodology 4. Research Findings: Proposing a New Framework 4.1 Algorithmic Corporeality: The Data-Driven Body 4.2 Simulated Affect: Emotion without Interiority 4.3 Generative Agency: Distributed Subjectivity 4.4 Generative Simulation: A Comprehensive Concept 5. Discussion 6. Conclusion Acknowledgement References