Assisting Motor Skill Transfer for Dance Students Using Wearable Feedback

Dance plays a crucial role in human well-being and expression.
To learn dance, transferring motor knowledge across humans is
relevant. Several technologies have been proposed to support such
knowledge transfer from teacher to student. However, most of such
systems applied a pragmatic approach focused on the feedback
and the quality of the feedback system and not necessarily on the
human mechanisms behind the dance learning process. In contrast,
we inquire about the teacher-to-student motor knowledge transfer
from the neural perspective to design motor learning wearable
systems. We conducted interviews with dance students and teachers
using vignettes based on motor learning theory as a discussion
base. We derived insights about dance learning and identified a
series of requirements for motor skill transfer-focused wearable
devices. Based on our results, we present a prototype that reflects
the minimum functional setup for effectively supporting motor
learning.