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Application of Physical Interactive Mixed Reality System Based on MLAT in the Field of Stage Performance Read chapter Read first chapter

2019 | OriginalPaper | Chapter

A Framework for Data-Driven Augmented Reality

Authors : Georgia Albuquerque, Dörte Sonntag, Oliver Bodensiek, Manuel Behlen, Nils Wendorff, Marcus Magnor

Published in: Augmented Reality, Virtual Reality, and Computer Graphics

Publisher: Springer International Publishing

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Abstract

This paper presents a new framework to support the creation of augmented reality (AR) applications for educational purposes in physics or engineering lab courses. These applications aim to help students to develop a better understanding of the underlying physics of observed phenomena. For each desired experiment, an AR application is automatically generated from an approximate 3D model of the experimental setup and precomputed simulation data. The applications allow for a visual augmentation of the experiment, where the involved physical quantities like vector fields, particle beams or density fields can be visually overlaid on the real-world setup. Additionally, a parameter feedback module can be used to update the visualization of the physical quantities according to actual experimental parameters in real-time. The proposed framework was evaluated on three different experiments: a Teltron tube with Helmholtz coils, an electron-beam-deflection tube and a parallel plate capacitor.

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Literature
1.
Albe, V., Venturini, P., Lascours, J.: Electromagnetic concepts in mathematical representation of physics. J. Sci. Educ. Technol. 10(2), 197–203 (2001)CrossRef
2.
Bacca, J., Baldiris, S., Fabregat, R., Graf, S., et al.: Augmented reality trends in education: a systematic review of research and applications. J. Educ. Technol. Soc. 17(4), 133 (2014)
3.
Bacca, J., Baldiris, S., Fabregat, R.: Kinshuk: framework for designing motivational augmented reality applications in vocational education and training. Australas. J. Educ. Technol. 53(3), 102 (2019)
4.
Blake, A., Isard, M.: The condensation algorithm-conditional density propagation and applications to visual tracking. In: Advances in Neural Information Processing Systems, pp. 361–367 (1997)
5.
Blum, T., Kleeberger, V., Bichlmeier, C., Navab, N.: mirracle: an augmented reality magic mirror system for anatomy education. In: 2012 IEEE Virtual Reality Short Papers and Posters (VRW), pp. 115–116. IEEE (2012)
6.
Bodensiek, O., Sonntag, D., Wendorff, N., Albuquerque, G., Magnor, M.: Augmenting the fine beam tube: from hybrid measurements to magnetic field visualization. Phys. Teach. 57, 262 (2019)CrossRef
7.
Farias, L., Dantas, R., Burlamaqui, A.: Educ-AR: a tool for assist the creation of augmented reality content for education. In: 2011 IEEE International Conference on Virtual Environments Human-Computer Interfaces and Measurement Systems (VECIMS), pp. 1–5. IEEE (2011)
8.
Fortune, S.: Voronoi diagrams and delaunay triangulations. In: Handbook of Discrete and Computational Geometry, pp. 377–388. CRC Press Inc. (1997)
9.
Garon, M., Boulet, P.O., Doironz, J.P., Beaulieu, L., Lalonde, J.F.: Real-time high resolution 3D data on the hololens. In: 2016 IEEE International Symposium on Mixed and Augmented Reality (ISMAR-Adjunct), pp. 189–191. IEEE (2016)
10.
Garzon, J., Pavon, J., Baldiris, S.: Virtual Reality, Special Issue: VR in Education (2019)
11.
Gonzalez, R.C., Woods, R.E., et al.: Digital image processing (2002)
12.
Guisasola, J., Almudi, J.M., Zubimendi, J.L.: Difficulties in learning the introductory magnetic field theory in the first years of university. Sci. Educ. 88(3), 443–464 (2004)CrossRef
13.
Ibáñez, M.B., Di Serio, Á., Villarán, D., Kloos, C.D.: Experimenting with electromagnetism using augmented reality: impact on flow student experience and educational effectiveness. Comput. Educ. 71, 1–13 (2014)CrossRef
14.
Kapp, S., et al.: Augmenting Kirchhoff’s laws: using augmented reality and smartglasses to enhance conceptual electrical experiments for high school students. Phys. Teach. 57(1), 52–53 (2019)CrossRef
15.
Kaufmann, H., Papp, M.: Learning objects for education with augmented reality. In: Proceedings of EDEN, pp. 160–165 (2006)
16.
Li, N., Gu, Y.X., Chang, L., Duh, H.B.L.: Influences of AR-supported simulation on learning effectiveness in face-to-face collaborative learning for physics. In: 2011 11th IEEE International Conference on Advanced Learning Technologies (ICALT), pp. 320–322. IEEE (2011)
17.
18.
Maloney, D.P., O’Kuma, T.L., Hieggelke, C.J., Van Heuvelen, A.: Surveying students’ conceptual knowledge of electricity and magnetism. Am. J. Phys. 69(S1), S12–S23 (2001)CrossRef
19.
Matsutomo, S., Miyauchi, T., Noguchi, S., Yamashita, H.: Real-time visualization system of magnetic field utilizing augmented reality technology for education. IEEE Trans. Magn. 48(2), 531–534 (2012)CrossRef
20.
Radu, I.: Augmented reality in education: a meta-review and cross-media analysis. Pers. Ubiquit. Comput. 18(6), 1533–1543 (2014)CrossRef
21.
Strzys, M., et al.: Augmenting the thermal flux experiment: a mixed reality approach with the hololens. Phys. Teach. 55(6), 376–377 (2017)CrossRef
22.
Sylaiou, S., Mania, K., Karoulis, A., White, M.: Exploring the relationship between presence and enjoyment in a virtual museum. Int. J. Hum Comput Stud. 68(5), 243–253 (2010)CrossRef
23.
Yuen, S.C.Y., Yaoyuneyong, G., Johnson, E.: Augmented reality: an overview and five directions for ar in education. J. Educ. Technol. Dev. Exch. (JETDE) 4(1), 11 (2011)
Metadata
Title
A Framework for Data-Driven Augmented Reality
Authors
Georgia Albuquerque
Dörte Sonntag
Oliver Bodensiek
Manuel Behlen
Nils Wendorff
Marcus Magnor
Copyright Year
2019
Book
Augmented Reality, Virtual Reality, and Computer Graphics

Print ISBN: 978-3-030-25998-3

Electronic ISBN: 978-3-030-25999-0

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-030-25999-0_7

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