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

    Katerina El Raheb, Marina Stergiou, Akrivi Katifori, Yannis Ioannidis

    Chapter from the book: Loizides, F et al. 2020. Human Computer Interaction and Emerging Technologies: Adjunct Proceedings from the INTERACT 2019 Workshops.

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    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.

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    Raheb, K et al. 2020. Mirror-mirror on the screen am I the most aligned than I have ever been?. In: Loizides, F et al (eds.), Human Computer Interaction and Emerging Technologies. Cardiff: Cardiff University Press. DOI: https://doi.org/10.18573/book3.at

    This is an Open Access chapter distributed under the terms of the Creative Commons Attribution 4.0 license (unless stated otherwise), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. Copyright is retained by the author(s).

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    Published on May 7, 2020