AfforDance: Personalized AR Dance Learning System with Visual Affordance
Hyunyoung Han, Jongwon Jang, Kitaeg Shim, Sang Ho Yoon

TL;DR
AfforDance is an AR-based dance learning system that personalizes instruction by transforming videos into interactive experiences with visual cues, 3D avatars, and synchronized audio to improve dance education.
Contribution
It introduces a novel AR system that personalizes dance learning through adaptive visual affordances and interactive content based on user-selected videos.
Findings
Enhanced user engagement with AR visual cues
Improved dance learning outcomes through personalization
Successful integration of 3D avatars and audio synchronization
Abstract
We propose AfforDance, an augmented reality (AR)-based dance learning system that generates personalized learning content and enhances learning through visual affordances. Our system converts user-selected dance videos into interactive learning experiences by integrating 3D reference avatars, audio synchronization, and adaptive visual cues that guide movement execution. This work contributes to personalized dance education by offering an adaptable, user-centered learning interface.
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Taxonomy
TopicsHuman Motion and Animation · Diversity and Impact of Dance · 3D Shape Modeling and Analysis
