Mirror-mirror on the screen am I the most aligned than I have ever been?

Recent progress in motion sensing, combined with the advanced visualization, augmented reality technologies and related movement computing research, open a great range of opportunities in realtime embodied learning applied to motion domains such as dance, sports, rehabilitation, fitness and well-being. In particular, low-end devices such as Kinect, have been used recently in a variety of domains that extend the paradigm of Augmented Mirror for dance self-training. In this paper we discuss the advantages and disadvantages of these paradigms and settings based on literature research, our previous work in WhoLoDancE project and reflection through an ongoing design process and prototyping of learning experiences related to dance. We focus on identified challenges through a user-centered and interdisciplinary lens with the belief that focusing on particular aspects of movement, guided by the practice itself can lead to more meaningful experiences for self-training.