Research Mentor: Ann Sofie Clemmensen, Associate Professor, UMBC Dance
User Perspectives On AI-Assisted Dance Training: An Iterative Design And Qualitative Evaluation
Research Overview
This study explores the evolving relationship between kinesthetic skill acquisition and human-computer interaction. Current digital dance resources, such as video-sharing platforms, often lack the technical specificity and real-time feedback required for rigorous dance education. This study investigates the potential of Augmented Reality (AR) and Artificial Intelligence (AI) to serve as assistive tools that supplement traditional pedagogy by increasing both accessibility and instructional precision. While preliminary research on movement-based technology exists, its application in dance studios remains underdeveloped. This research utilizes an iterative design methodology to develop an application prototype that employs AI-driven motion analysis and AR overlays to demonstrate specific dance skills. To evaluate user interaction with such a tool, a qualitative study was conducted using a structured questionnaire to gauge dancers’ perspectives on the prototype’s pedagogical value, design, and its impact on the learning process. The findings aim to demonstrate that integrated technology can act as a significant asset in refining technical execution and democratizing high-level instruction.
Presentation Details
📍 Location: RAC Arena, Poster #118
📅 Date & Time: April 22nd, 2026, 2-3pm