research-article

Movement Guidance using a Mixed Reality Mirror

Authors:

Andrew Irlitti,

Jorge Goncalves,

Eduardo VellosoAuthors Info & Claims

DIS '22: Proceedings of the 2022 ACM Designing Interactive Systems Conference

Pages 821 - 834

https://doi.org/10.1145/3532106.3533466

Published: 13 June 2022 Publication History

Abstract

Mirror reflections offer an intuitive and realistic Mixed Reality (MR) experience comparable to other MR interfaces. Their high visual fidelity, and the sensorimotor contingency from the reflected moving body, make the mirror an ideal instrument for MR movement guidance. The translucent two-way mirror display enables users to follow a virtual humanoid instructor’s movement accurately by visually matching it with their reflections. In this work, we conduct the first formal evaluation of movement acquisition performance with simple motor tasks, using visual guidance from an MR mirror and a humanoid virtual instructor. Our results of performance and subjective ratings indicate that, comparing with simulated virtual mirror and with traditional screen-based movement guidance, the real MR mirror yields better acquisition performance and stronger sense of embodiment with the reflection, for upper-body movement. But the benefits diminish with larger-range head movements. We provide design guidelines for future mirror movement guidance interfaces and MR mirror experiences at large.

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https://dl.acm.org/doi/10.1145/3698149
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cover image ACM Conferences

DIS '22: Proceedings of the 2022 ACM Designing Interactive Systems Conference

June 2022

1947 pages

ISBN:9781450393584

DOI:10.1145/3532106

Editors:
Florian `Floyd' Mueller
Monash University, Melbourne, Australia
,
Stefan Greuter
Deakin University, Melbourne, Australia
,
Rohit Ashok Khot
RMIT University, Melbourne, Australia
,
Penny Sweetser
The Australian National University, Canberra, Australia
,
Marianna Obrist
University College London, UK

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https://dl.acm.org/doi/10.1145/3698149
Ma DHu XShi JPatel MJain RLiu ZZhu ZRamani K(2024)avaTTAR: Table Tennis Stroke Training with Embodied and Detached Visualization in Augmented RealityProceedings of the 37th Annual ACM Symposium on User Interface Software and Technology10.1145/3654777.3676400(1-16)Online publication date: 13-Oct-2024
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