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General Information
Editor-in-chief
Prof. Adrian Olaru
University Politehnica of Bucharest, Romania
I'm happy to take on the position of editor in chief of IJMO. It's a journal that shows promise of becoming a recognized journal in the area of modelling and optimization. I'll work together with the editors to help it progress.
IJMO 2020 Vol.10(2): 41-46 ISSN: 2010-3697
DOI: 10.7763/IJMO.2020.V10.744

A Scalable Interactive Mixed Reality Escape Room Simulation for Anatomy Learning

Xi Guo, Dai Rees, and Mark Richards

Abstract—Escape Room is an adventure game usually used for team building but can also be used to enhance group learning experiences, as teams need to solve problems to escape a locked room. Immersive technology such as Mixed Reality (MR) makes it possible to enhance users’ experience of physical escape rooms with rich digital context. However, most MR designs require special equipment or applications to be installed and it is problematic to make the system scalable. While, most commercial products are used for entertainment purposes; in this paper, a scalable interactive MR escape room simulation for anatomy learning is introduced. This paper outlines the background, design concepts, implementation and test result. It demonstrates how to make good use of MR technology in a standard classroom setting, whilst combining the learning resources with an escape room game to provide a better learning experience in human anatomy.

Index Terms—Mixed reality, augmented reality, escape room, web based, scalable, mobile application.

The authors are with the HELS faculty, Birmingham City University, UK (e-mail: xi.guo@bcu.ac.uk, dai.rees@bcu.ac.uk, mark.richards@bcu.ac.uk).

[PDF]

Cite: Xi Guo, Dai Rees, and Mark Richards, "A Scalable Interactive Mixed Reality Escape Room Simulation for Anatomy Learning," International Journal of Modeling and Optimization vol. 10, no. 2, pp. 41-46, 2020.

Copyright © 2020 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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