AI 기반 K-Pop 댄스 플랫폼의 신체 인식과 춤 경험 영향 고찰 = A Study on the Impact of AI-Based K-Pop Dance Platforms on Bodily Perception and Dance Experience

다국어 초록 (Multilingual Abstract)

This study examines how AI-based K-Pop dance platforms reshape contemporary dance experience, bodily perception, and performativity. With the rapid development of AI motion recognition technologies, dance movements are analyzed and scored in real time, transforming dance from an object of appreciation and performance into an object of measurement and feedback. The study focuses on two types of platforms: a mobile camera-based pose estimation system and a sensor-based arcade system. Using a qualitative and interpretive approach, it analyzes bodily recognition mechanisms, scoring systems, visual feedback strategies, and repetition-inducing structures embedded in these platforms. The findings reveal that AI technologies simultaneously reinforce accuracy-based norms by reducing dance movements to coordinates and angles, while also generating new immersive experiences and process-oriented performativity through repetition and real-time feedback. Within platform environments, the body is reconstructed as a hybrid perceptual structure in which internal sensations intersect with algorithmic interpretations, and performativity shifts from a result-oriented concept to a process-centered one based on repetition and adjustment. This study interprets AI technology not merely as a controlling apparatus but as an environment that reorganizes bodily experience and expands the possibilities of dance performativity in technological contexts.